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CREATE TABLE law_episode (episode_id text, series text, season integer, episode integer, number_in_series integer, title text, summary text, air_date date, episode_image text, rating real, votes integer, episode_id text, keyword text, person_id text, name text, birthdate date, birth_name text, birth_place text, birth_region text, birth_country text, height_meters real, nickname text, award_id integer, organization text, year integer, award_category text, award text, series text, episode_id text, person_id text, role text, result text, episode_id text, person_id text, category text, role text, credited text, episode_id text, stars integer, votes integer, percent real) | Among the American casts, how many were uncredited on episode ID tt0629228? | SELECT COUNT(T1.person_id) FROM Credit AS T1 INNER JOIN Person AS T2 ON T2.person_id = T1.person_id WHERE T1.episode_id = 'tt0629228' AND T1.category = 'Cast' AND T1.credited = 'false' AND T2.birth_country = 'USA' | bird |
CREATE TABLE law_episode (episode_id text, series text, season integer, episode integer, number_in_series integer, title text, summary text, air_date date, episode_image text, rating real, votes integer, episode_id text, keyword text, person_id text, name text, birthdate date, birth_name text, birth_place text, birth_region text, birth_country text, height_meters real, nickname text, award_id integer, organization text, year integer, award_category text, award text, series text, episode_id text, person_id text, role text, result text, episode_id text, person_id text, category text, role text, credited text, episode_id text, stars integer, votes integer, percent real) | What was the role of Jason Kuschner in episode 9? | SELECT T1.role FROM Credit AS T1 INNER JOIN Person AS T2 ON T2.person_id = T1.person_id INNER JOIN Episode AS T3 ON T1.episode_id = T3.episode_id WHERE T3.episode = 9 AND T2.name = 'Jason Kuschner' | bird |
CREATE TABLE law_episode (episode_id text, series text, season integer, episode integer, number_in_series integer, title text, summary text, air_date date, episode_image text, rating real, votes integer, episode_id text, keyword text, person_id text, name text, birthdate date, birth_name text, birth_place text, birth_region text, birth_country text, height_meters real, nickname text, award_id integer, organization text, year integer, award_category text, award text, series text, episode_id text, person_id text, role text, result text, episode_id text, person_id text, category text, role text, credited text, episode_id text, stars integer, votes integer, percent real) | Who played the role of the "president of NBC West Coast" in the first episode? | SELECT T2.name FROM Credit AS T1 INNER JOIN Person AS T2 ON T2.person_id = T1.person_id INNER JOIN Episode AS T3 ON T1.episode_id = T3.episode_id WHERE T3.episode = 1 AND T1.role = 'president of NBC West Coast' | bird |
CREATE TABLE law_episode (episode_id text, series text, season integer, episode integer, number_in_series integer, title text, summary text, air_date date, episode_image text, rating real, votes integer, episode_id text, keyword text, person_id text, name text, birthdate date, birth_name text, birth_place text, birth_region text, birth_country text, height_meters real, nickname text, award_id integer, organization text, year integer, award_category text, award text, series text, episode_id text, person_id text, role text, result text, episode_id text, person_id text, category text, role text, credited text, episode_id text, stars integer, votes integer, percent real) | List down the titles of the top 3 episodes, from highest to lowest, in terms of their weighted stars. | SELECT T2.title FROM Vote AS T1 INNER JOIN Episode AS T2 ON T2.episode_id = T1.episode_id WHERE T1.stars BETWEEN 1 AND 10 GROUP BY T2.title ORDER BY CAST(SUM(T1.stars * T1.percent) AS REAL) / 100 DESC LIMIT 3 | bird |
CREATE TABLE law_episode (episode_id text, series text, season integer, episode integer, number_in_series integer, title text, summary text, air_date date, episode_image text, rating real, votes integer, episode_id text, keyword text, person_id text, name text, birthdate date, birth_name text, birth_place text, birth_region text, birth_country text, height_meters real, nickname text, award_id integer, organization text, year integer, award_category text, award text, series text, episode_id text, person_id text, role text, result text, episode_id text, person_id text, category text, role text, credited text, episode_id text, stars integer, votes integer, percent real) | What is the ratio of American casts on episode 2 of the series? Please include their roles. | SELECT CAST(SUM(CASE WHEN T2.category = 'Cast' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T2.category), T1.role FROM Award AS T1 INNER JOIN Credit AS T2 ON T1.episode_id = T2.episode_id INNER JOIN Episode AS T3 ON T2.episode_id = T3.episode_id INNER JOIN Person AS T4 ON T2.person_id = T4.person_id WHERE T3.episode = 2 AND T4.birth_country = 'USA' | bird |
CREATE TABLE law_episode (episode_id text, series text, season integer, episode integer, number_in_series integer, title text, summary text, air_date date, episode_image text, rating real, votes integer, episode_id text, keyword text, person_id text, name text, birthdate date, birth_name text, birth_place text, birth_region text, birth_country text, height_meters real, nickname text, award_id integer, organization text, year integer, award_category text, award text, series text, episode_id text, person_id text, role text, result text, episode_id text, person_id text, category text, role text, credited text, episode_id text, stars integer, votes integer, percent real) | How many people from Canada are nominated for an award? | SELECT COUNT(T1.person_id) FROM Person AS T1 INNER JOIN Award AS T2 ON T1.person_id = T2.person_id WHERE T1.birth_country = 'Canada' | bird |
CREATE TABLE law_episode (episode_id text, series text, season integer, episode integer, number_in_series integer, title text, summary text, air_date date, episode_image text, rating real, votes integer, episode_id text, keyword text, person_id text, name text, birthdate date, birth_name text, birth_place text, birth_region text, birth_country text, height_meters real, nickname text, award_id integer, organization text, year integer, award_category text, award text, series text, episode_id text, person_id text, role text, result text, episode_id text, person_id text, category text, role text, credited text, episode_id text, stars integer, votes integer, percent real) | How many episodes are credited to Jerry Orbach? | SELECT COUNT(T2.person_id) FROM Credit AS T1 INNER JOIN Person AS T2 ON T2.person_id = T1.person_id WHERE T2.name = 'Jerry Orbach' | bird |
CREATE TABLE law_episode (episode_id text, series text, season integer, episode integer, number_in_series integer, title text, summary text, air_date date, episode_image text, rating real, votes integer, episode_id text, keyword text, person_id text, name text, birthdate date, birth_name text, birth_place text, birth_region text, birth_country text, height_meters real, nickname text, award_id integer, organization text, year integer, award_category text, award text, series text, episode_id text, person_id text, role text, result text, episode_id text, person_id text, category text, role text, credited text, episode_id text, stars integer, votes integer, percent real) | List out all the credit names for episode 9. | SELECT T3.name FROM Episode AS T1 INNER JOIN Credit AS T2 ON T1.episode_id = T2.episode_id INNER JOIN Person AS T3 ON T3.person_id = T2.person_id WHERE T1.episode = 9 | bird |
CREATE TABLE law_episode (episode_id text, series text, season integer, episode integer, number_in_series integer, title text, summary text, air_date date, episode_image text, rating real, votes integer, episode_id text, keyword text, person_id text, name text, birthdate date, birth_name text, birth_place text, birth_region text, birth_country text, height_meters real, nickname text, award_id integer, organization text, year integer, award_category text, award text, series text, episode_id text, person_id text, role text, result text, episode_id text, person_id text, category text, role text, credited text, episode_id text, stars integer, votes integer, percent real) | List out all award titles nominated for episode 20. | SELECT T2.award FROM Episode AS T1 INNER JOIN Award AS T2 ON T1.episode_id = T2.episode_id WHERE T1.episode = 20 AND T2.result IN ('Winner', 'Nominee') | bird |
CREATE TABLE law_episode (episode_id text, series text, season integer, episode integer, number_in_series integer, title text, summary text, air_date date, episode_image text, rating real, votes integer, episode_id text, keyword text, person_id text, name text, birthdate date, birth_name text, birth_place text, birth_region text, birth_country text, height_meters real, nickname text, award_id integer, organization text, year integer, award_category text, award text, series text, episode_id text, person_id text, role text, result text, episode_id text, person_id text, category text, role text, credited text, episode_id text, stars integer, votes integer, percent real) | Which role have won at least two awards for the entire season and list out the name? | SELECT T1.name FROM Person AS T1 INNER JOIN Award AS T2 ON T1.person_id = T2.person_id GROUP BY T2.role HAVING COUNT(T2.award_id) > 1 | bird |
CREATE TABLE law_episode (episode_id text, series text, season integer, episode integer, number_in_series integer, title text, summary text, air_date date, episode_image text, rating real, votes integer, episode_id text, keyword text, person_id text, name text, birthdate date, birth_name text, birth_place text, birth_region text, birth_country text, height_meters real, nickname text, award_id integer, organization text, year integer, award_category text, award text, series text, episode_id text, person_id text, role text, result text, episode_id text, person_id text, category text, role text, credited text, episode_id text, stars integer, votes integer, percent real) | List out director names that received an award along with the episode number. | SELECT T3.name, T1.episode_id FROM Episode AS T1 INNER JOIN Award AS T2 ON T1.episode_id = T2.episode_id INNER JOIN Person AS T3 ON T2.person_id = T3.person_id WHERE T2.role = 'director' AND T2.result = 'Winner' | bird |
CREATE TABLE law_episode (episode_id text, series text, season integer, episode integer, number_in_series integer, title text, summary text, air_date date, episode_image text, rating real, votes integer, episode_id text, keyword text, person_id text, name text, birthdate date, birth_name text, birth_place text, birth_region text, birth_country text, height_meters real, nickname text, award_id integer, organization text, year integer, award_category text, award text, series text, episode_id text, person_id text, role text, result text, episode_id text, person_id text, category text, role text, credited text, episode_id text, stars integer, votes integer, percent real) | Which episodes are nominated for an awards but not win? | SELECT T1.episode FROM Episode AS T1 INNER JOIN Award AS T2 ON T1.episode_id = T2.episode_id WHERE T2.result = 'Nominee' | bird |
CREATE TABLE law_episode (episode_id text, series text, season integer, episode integer, number_in_series integer, title text, summary text, air_date date, episode_image text, rating real, votes integer, episode_id text, keyword text, person_id text, name text, birthdate date, birth_name text, birth_place text, birth_region text, birth_country text, height_meters real, nickname text, award_id integer, organization text, year integer, award_category text, award text, series text, episode_id text, person_id text, role text, result text, episode_id text, person_id text, category text, role text, credited text, episode_id text, stars integer, votes integer, percent real) | What is the average rating for each episode in season 9? | SELECT SUM(rating) / COUNT(episode_id) FROM Episode WHERE season = 9 | bird |
CREATE TABLE law_episode (episode_id text, series text, season integer, episode integer, number_in_series integer, title text, summary text, air_date date, episode_image text, rating real, votes integer, episode_id text, keyword text, person_id text, name text, birthdate date, birth_name text, birth_place text, birth_region text, birth_country text, height_meters real, nickname text, award_id integer, organization text, year integer, award_category text, award text, series text, episode_id text, person_id text, role text, result text, episode_id text, person_id text, category text, role text, credited text, episode_id text, stars integer, votes integer, percent real) | What is the difference of 10 stars votes between the first episode and the last episode? | SELECT SUM(CASE WHEN T2.episode = 24 THEN T1.votes ELSE 0 END) - SUM(CASE WHEN T2.episode = 1 THEN T1.votes ELSE 0 END) FROM Vote AS T1 INNER JOIN Episode AS T2 ON T2.episode_id = T1.episode_id WHERE T1.stars = 10 | bird |
CREATE TABLE law_episode (episode_id text, series text, season integer, episode integer, number_in_series integer, title text, summary text, air_date date, episode_image text, rating real, votes integer, episode_id text, keyword text, person_id text, name text, birthdate date, birth_name text, birth_place text, birth_region text, birth_country text, height_meters real, nickname text, award_id integer, organization text, year integer, award_category text, award text, series text, episode_id text, person_id text, role text, result text, episode_id text, person_id text, category text, role text, credited text, episode_id text, stars integer, votes integer, percent real) | What is the episode rating with the most award won? | SELECT T1.rating FROM Episode AS T1 INNER JOIN Award AS T2 ON T1.episode_id = T2.episode_id WHERE T2.result = 'Winner' GROUP BY T1.episode_id ORDER BY COUNT(T2.award_id) DESC LIMIT 1 | bird |
CREATE TABLE law_episode (episode_id text, series text, season integer, episode integer, number_in_series integer, title text, summary text, air_date date, episode_image text, rating real, votes integer, episode_id text, keyword text, person_id text, name text, birthdate date, birth_name text, birth_place text, birth_region text, birth_country text, height_meters real, nickname text, award_id integer, organization text, year integer, award_category text, award text, series text, episode_id text, person_id text, role text, result text, episode_id text, person_id text, category text, role text, credited text, episode_id text, stars integer, votes integer, percent real) | How many credits have been displayed from episode 1 until 10? | SELECT COUNT(T1.person_id) FROM Credit AS T1 INNER JOIN Episode AS T2 ON T1.episode_id = T2.episode_id WHERE T1.credited = 'true' AND T2.episode BETWEEN 1 AND 10 | bird |
CREATE TABLE law_episode (episode_id text, series text, season integer, episode integer, number_in_series integer, title text, summary text, air_date date, episode_image text, rating real, votes integer, episode_id text, keyword text, person_id text, name text, birthdate date, birth_name text, birth_place text, birth_region text, birth_country text, height_meters real, nickname text, award_id integer, organization text, year integer, award_category text, award text, series text, episode_id text, person_id text, role text, result text, episode_id text, person_id text, category text, role text, credited text, episode_id text, stars integer, votes integer, percent real) | What is the episode that has mafia keyword? | SELECT T1.episode FROM Episode AS T1 INNER JOIN Keyword AS T2 ON T1.episode_id = T2.episode_id WHERE T2.Keyword = 'mafia' | bird |
CREATE TABLE law_episode (episode_id text, series text, season integer, episode integer, number_in_series integer, title text, summary text, air_date date, episode_image text, rating real, votes integer, episode_id text, keyword text, person_id text, name text, birthdate date, birth_name text, birth_place text, birth_region text, birth_country text, height_meters real, nickname text, award_id integer, organization text, year integer, award_category text, award text, series text, episode_id text, person_id text, role text, result text, episode_id text, person_id text, category text, role text, credited text, episode_id text, stars integer, votes integer, percent real) | What is the average star with highest percentage for episodes that have received award? | SELECT T2.person_id FROM Vote AS T1 INNER JOIN Award AS T2 ON T1.episode_id = T2.episode_id ORDER BY T1.percent DESC LIMIT 1 | bird |
CREATE TABLE law_episode (episode_id text, series text, season integer, episode integer, number_in_series integer, title text, summary text, air_date date, episode_image text, rating real, votes integer, episode_id text, keyword text, person_id text, name text, birthdate date, birth_name text, birth_place text, birth_region text, birth_country text, height_meters real, nickname text, award_id integer, organization text, year integer, award_category text, award text, series text, episode_id text, person_id text, role text, result text, episode_id text, person_id text, category text, role text, credited text, episode_id text, stars integer, votes integer, percent real) | What is the average ranking episodes that are nominated for an award? | SELECT SUM(T1.rating) / COUNT(T1.episode) FROM Episode AS T1 INNER JOIN Award AS T2 ON T1.episode_id = T2.episode_id | bird |
CREATE TABLE law_episode (episode_id text, series text, season integer, episode integer, number_in_series integer, title text, summary text, air_date date, episode_image text, rating real, votes integer, episode_id text, keyword text, person_id text, name text, birthdate date, birth_name text, birth_place text, birth_region text, birth_country text, height_meters real, nickname text, award_id integer, organization text, year integer, award_category text, award text, series text, episode_id text, person_id text, role text, result text, episode_id text, person_id text, category text, role text, credited text, episode_id text, stars integer, votes integer, percent real) | How many winners have been awarded a Television award by the "American Bar Association Silver Gavel Awards for Media and the Arts"? | SELECT COUNT(award_id) FROM Award WHERE result = 'Winner' AND award = 'Television' AND organization = 'American Bar Association Silver Gavel Awards for Media and the Arts' | bird |
CREATE TABLE law_episode (episode_id text, series text, season integer, episode integer, number_in_series integer, title text, summary text, air_date date, episode_image text, rating real, votes integer, episode_id text, keyword text, person_id text, name text, birthdate date, birth_name text, birth_place text, birth_region text, birth_country text, height_meters real, nickname text, award_id integer, organization text, year integer, award_category text, award text, series text, episode_id text, person_id text, role text, result text, episode_id text, person_id text, category text, role text, credited text, episode_id text, stars integer, votes integer, percent real) | Which continent was Michael Preston born on? | SELECT birth_country FROM Person WHERE name = 'Michael Preston' | bird |
CREATE TABLE law_episode (episode_id text, series text, season integer, episode integer, number_in_series integer, title text, summary text, air_date date, episode_image text, rating real, votes integer, episode_id text, keyword text, person_id text, name text, birthdate date, birth_name text, birth_place text, birth_region text, birth_country text, height_meters real, nickname text, award_id integer, organization text, year integer, award_category text, award text, series text, episode_id text, person_id text, role text, result text, episode_id text, person_id text, category text, role text, credited text, episode_id text, stars integer, votes integer, percent real) | Who was the nominee playing the role of Katrina Ludlow in the Law & Order series? | SELECT T2.name FROM Award AS T1 INNER JOIN Person AS T2 ON T1.person_id = T2.person_id WHERE T1.result = 'Nominee' AND T1.role = 'Katrina Ludlow' AND T1.series = 'Law and Order' | bird |
CREATE TABLE law_episode (episode_id text, series text, season integer, episode integer, number_in_series integer, title text, summary text, air_date date, episode_image text, rating real, votes integer, episode_id text, keyword text, person_id text, name text, birthdate date, birth_name text, birth_place text, birth_region text, birth_country text, height_meters real, nickname text, award_id integer, organization text, year integer, award_category text, award text, series text, episode_id text, person_id text, role text, result text, episode_id text, person_id text, category text, role text, credited text, episode_id text, stars integer, votes integer, percent real) | Who played the role of a teleplay in the episode that won "Best Television Episode"? | SELECT T2.name FROM Award AS T1 INNER JOIN Person AS T2 ON T1.person_id = T2.person_id WHERE T1.result = 'Winner' AND T1.award = 'Best Television Episode' | bird |
CREATE TABLE law_episode (episode_id text, series text, season integer, episode integer, number_in_series integer, title text, summary text, air_date date, episode_image text, rating real, votes integer, episode_id text, keyword text, person_id text, name text, birthdate date, birth_name text, birth_place text, birth_region text, birth_country text, height_meters real, nickname text, award_id integer, organization text, year integer, award_category text, award text, series text, episode_id text, person_id text, role text, result text, episode_id text, person_id text, category text, role text, credited text, episode_id text, stars integer, votes integer, percent real) | What is the date of birth of the actor who played the role of a "writer"? | SELECT T2.birthdate FROM Award AS T1 INNER JOIN Person AS T2 ON T1.person_id = T2.person_id WHERE T1.role = 'writer' | bird |
CREATE TABLE law_episode (episode_id text, series text, season integer, episode integer, number_in_series integer, title text, summary text, air_date date, episode_image text, rating real, votes integer, episode_id text, keyword text, person_id text, name text, birthdate date, birth_name text, birth_place text, birth_region text, birth_country text, height_meters real, nickname text, award_id integer, organization text, year integer, award_category text, award text, series text, episode_id text, person_id text, role text, result text, episode_id text, person_id text, category text, role text, credited text, episode_id text, stars integer, votes integer, percent real) | Which episode was nominated for the award for "Outstanding Costume Design for a Series"? | SELECT T2.title FROM Award AS T1 INNER JOIN Episode AS T2 ON T1.episode_id = T2.episode_id WHERE T1.award = 'Outstanding Costume Design for a Series' | bird |
CREATE TABLE law_episode (episode_id text, series text, season integer, episode integer, number_in_series integer, title text, summary text, air_date date, episode_image text, rating real, votes integer, episode_id text, keyword text, person_id text, name text, birthdate date, birth_name text, birth_place text, birth_region text, birth_country text, height_meters real, nickname text, award_id integer, organization text, year integer, award_category text, award text, series text, episode_id text, person_id text, role text, result text, episode_id text, person_id text, category text, role text, credited text, episode_id text, stars integer, votes integer, percent real) | Which episode has the highest total number of viewer votes? | SELECT T1.title FROM Episode AS T1 INNER JOIN Vote AS T2 ON T1.episode_id = T2.episode_id GROUP BY T1.title ORDER BY SUM(T1.votes) DESC LIMIT 1 | bird |
CREATE TABLE law_episode (episode_id text, series text, season integer, episode integer, number_in_series integer, title text, summary text, air_date date, episode_image text, rating real, votes integer, episode_id text, keyword text, person_id text, name text, birthdate date, birth_name text, birth_place text, birth_region text, birth_country text, height_meters real, nickname text, award_id integer, organization text, year integer, award_category text, award text, series text, episode_id text, person_id text, role text, result text, episode_id text, person_id text, category text, role text, credited text, episode_id text, stars integer, votes integer, percent real) | Who was the actor who was portraying "Alex Brown" and has been credited? | SELECT T1.name FROM Person AS T1 INNER JOIN Credit AS T2 ON T1.person_id = T2.person_id WHERE T2.role = 'Alex Brown' AND T2.credited = 'true' | bird |
CREATE TABLE law_episode (episode_id text, series text, season integer, episode integer, number_in_series integer, title text, summary text, air_date date, episode_image text, rating real, votes integer, episode_id text, keyword text, person_id text, name text, birthdate date, birth_name text, birth_place text, birth_region text, birth_country text, height_meters real, nickname text, award_id integer, organization text, year integer, award_category text, award text, series text, episode_id text, person_id text, role text, result text, episode_id text, person_id text, category text, role text, credited text, episode_id text, stars integer, votes integer, percent real) | Where is the place of birth of the actor with the number nm0007064 who has not been credited for playing the role of a "Narrator"? | SELECT DISTINCT T1.birth_place FROM Person AS T1 INNER JOIN Credit AS T2 ON T1.person_id = T2.person_id WHERE T1.person_id = 'nm0007064' AND T2.role = 'Narrator' AND T2.credited = 'false' | bird |
CREATE TABLE law_episode (episode_id text, series text, season integer, episode integer, number_in_series integer, title text, summary text, air_date date, episode_image text, rating real, votes integer, episode_id text, keyword text, person_id text, name text, birthdate date, birth_name text, birth_place text, birth_region text, birth_country text, height_meters real, nickname text, award_id integer, organization text, year integer, award_category text, award text, series text, episode_id text, person_id text, role text, result text, episode_id text, person_id text, category text, role text, credited text, episode_id text, stars integer, votes integer, percent real) | What are the keywords of the episode "Shield"? | SELECT T2.keyword FROM Episode AS T1 INNER JOIN Keyword AS T2 ON T1.episode_id = T2.episode_id WHERE T1.title = 'Shield' | bird |
CREATE TABLE law_episode (episode_id text, series text, season integer, episode integer, number_in_series integer, title text, summary text, air_date date, episode_image text, rating real, votes integer, episode_id text, keyword text, person_id text, name text, birthdate date, birth_name text, birth_place text, birth_region text, birth_country text, height_meters real, nickname text, award_id integer, organization text, year integer, award_category text, award text, series text, episode_id text, person_id text, role text, result text, episode_id text, person_id text, category text, role text, credited text, episode_id text, stars integer, votes integer, percent real) | Who are the actors with a height of over 1.80m in an episode that won an award? | SELECT T2.name FROM Award AS T1 INNER JOIN Person AS T2 ON T1.person_id = T2.person_id WHERE T1.result = 'Winner' AND T2.height_meters > 1.80 | bird |
CREATE TABLE law_episode (episode_id text, series text, season integer, episode integer, number_in_series integer, title text, summary text, air_date date, episode_image text, rating real, votes integer, episode_id text, keyword text, person_id text, name text, birthdate date, birth_name text, birth_place text, birth_region text, birth_country text, height_meters real, nickname text, award_id integer, organization text, year integer, award_category text, award text, series text, episode_id text, person_id text, role text, result text, episode_id text, person_id text, category text, role text, credited text, episode_id text, stars integer, votes integer, percent real) | Which episode has the two keywords "nun" and "priest"? | SELECT T1.title FROM Episode AS T1 INNER JOIN Keyword AS T2 ON T1.episode_id = T2.episode_id WHERE T2.keyword IN ('nun', 'priest') | bird |
CREATE TABLE law_episode (episode_id text, series text, season integer, episode integer, number_in_series integer, title text, summary text, air_date date, episode_image text, rating real, votes integer, episode_id text, keyword text, person_id text, name text, birthdate date, birth_name text, birth_place text, birth_region text, birth_country text, height_meters real, nickname text, award_id integer, organization text, year integer, award_category text, award text, series text, episode_id text, person_id text, role text, result text, episode_id text, person_id text, category text, role text, credited text, episode_id text, stars integer, votes integer, percent real) | Which episode number has the second highest positive viewer comments and has been awarded "Best Television Episode"? | SELECT T2.episode_id FROM Award AS T1 INNER JOIN Episode AS T2 ON T1.episode_id = T2.episode_id WHERE T1.award = 'Best Television Episode' AND T1.result = 'Winner' ORDER BY T2.rating DESC LIMIT 2 | bird |
CREATE TABLE law_episode (episode_id text, series text, season integer, episode integer, number_in_series integer, title text, summary text, air_date date, episode_image text, rating real, votes integer, episode_id text, keyword text, person_id text, name text, birthdate date, birth_name text, birth_place text, birth_region text, birth_country text, height_meters real, nickname text, award_id integer, organization text, year integer, award_category text, award text, series text, episode_id text, person_id text, role text, result text, episode_id text, person_id text, category text, role text, credited text, episode_id text, stars integer, votes integer, percent real) | Please list any three episodes that were most enjoyed by the viewers. | SELECT T1.title FROM Episode AS T1 INNER JOIN Vote AS T2 ON T1.episode_id = T2.episode_id WHERE T2.stars = 10 LIMIT 3 | bird |
CREATE TABLE synthea (ITEM text, POPULATION TYPE text, OCCURRENCES integer, POPULATION COUNT integer, PREVALENCE RATE real, PREVALENCE PERCENTAGE real, patient text, birthdate date, deathdate date, ssn text, drivers text, passport text, prefix text, first text, last text, suffix text, maiden text, marital text, race text, ethnicity text, gender text, birthplace text, address text, ID text, DATE date, PATIENT text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START text, STOP text, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, ID text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE real, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE text, DESCRIPTION text, VALUE real, UNITS text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, ID text, PATIENT text, BILLABLEPERIOD date, ORGANIZATION text, ENCOUNTER text, DIAGNOSIS text, TOTAL integer) | According to the observation on 2008/3/11, what was the height of Elly Koss? | SELECT T2.value, T2.units FROM patients AS T1 INNER JOIN observations AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Elly' AND T1.last = 'Koss' AND T2.date = '2008-03-11' AND T2.description = 'Body Height' | bird |
CREATE TABLE synthea (ITEM text, POPULATION TYPE text, OCCURRENCES integer, POPULATION COUNT integer, PREVALENCE RATE real, PREVALENCE PERCENTAGE real, patient text, birthdate date, deathdate date, ssn text, drivers text, passport text, prefix text, first text, last text, suffix text, maiden text, marital text, race text, ethnicity text, gender text, birthplace text, address text, ID text, DATE date, PATIENT text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START text, STOP text, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, ID text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE real, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE text, DESCRIPTION text, VALUE real, UNITS text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, ID text, PATIENT text, BILLABLEPERIOD date, ORGANIZATION text, ENCOUNTER text, DIAGNOSIS text, TOTAL integer) | By how much did Elly Koss's weight increase from the observation in 2008 to the observation in 2009? | SELECT SUM(CASE WHEN strftime('%Y', T2.date) = '2009' THEN T2.VALUE END) - SUM(CASE WHEN strftime('%Y', T2.date) = '2008' THEN T2.VALUE END) AS increase , T2.units FROM patients AS T1 INNER JOIN observations AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Elly' AND T1.last = 'Koss' AND T2.description = 'Body Height' | bird |
CREATE TABLE synthea (ITEM text, POPULATION TYPE text, OCCURRENCES integer, POPULATION COUNT integer, PREVALENCE RATE real, PREVALENCE PERCENTAGE real, patient text, birthdate date, deathdate date, ssn text, drivers text, passport text, prefix text, first text, last text, suffix text, maiden text, marital text, race text, ethnicity text, gender text, birthplace text, address text, ID text, DATE date, PATIENT text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START text, STOP text, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, ID text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE real, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE text, DESCRIPTION text, VALUE real, UNITS text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, ID text, PATIENT text, BILLABLEPERIOD date, ORGANIZATION text, ENCOUNTER text, DIAGNOSIS text, TOTAL integer) | During all the observations of Elly Koss, what was the highest Systolic Blood Pressure observed? | SELECT T2.value, T2.units FROM patients AS T1 INNER JOIN observations AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Elly' AND T1.last = 'Koss' AND T2.description = 'Systolic Blood Pressure' ORDER BY T2.VALUE DESC LIMIT 1 | bird |
CREATE TABLE synthea (ITEM text, POPULATION TYPE text, OCCURRENCES integer, POPULATION COUNT integer, PREVALENCE RATE real, PREVALENCE PERCENTAGE real, patient text, birthdate date, deathdate date, ssn text, drivers text, passport text, prefix text, first text, last text, suffix text, maiden text, marital text, race text, ethnicity text, gender text, birthplace text, address text, ID text, DATE date, PATIENT text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START text, STOP text, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, ID text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE real, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE text, DESCRIPTION text, VALUE real, UNITS text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, ID text, PATIENT text, BILLABLEPERIOD date, ORGANIZATION text, ENCOUNTER text, DIAGNOSIS text, TOTAL integer) | For how many times had Elly Koss have her Systolic Blood Pressure observed? | SELECT COUNT(T2.description) FROM patients AS T1 INNER JOIN observations AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Elly' AND T1.last = 'Koss' AND T2.description = 'Systolic Blood Pressure' | bird |
CREATE TABLE synthea (ITEM text, POPULATION TYPE text, OCCURRENCES integer, POPULATION COUNT integer, PREVALENCE RATE real, PREVALENCE PERCENTAGE real, patient text, birthdate date, deathdate date, ssn text, drivers text, passport text, prefix text, first text, last text, suffix text, maiden text, marital text, race text, ethnicity text, gender text, birthplace text, address text, ID text, DATE date, PATIENT text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START text, STOP text, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, ID text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE real, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE text, DESCRIPTION text, VALUE real, UNITS text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, ID text, PATIENT text, BILLABLEPERIOD date, ORGANIZATION text, ENCOUNTER text, DIAGNOSIS text, TOTAL integer) | The highest Systolic Blood Pressure was observed in which patient? Please give his or her full name. | SELECT T1.first, T1.last FROM patients AS T1 INNER JOIN observations AS T2 ON T1.patient = T2.PATIENT WHERE T2.VALUE = ( SELECT MAX(VALUE) FROM observations WHERE description = 'Systolic Blood Pressure' ) LIMIT 1 | bird |
CREATE TABLE synthea (ITEM text, POPULATION TYPE text, OCCURRENCES integer, POPULATION COUNT integer, PREVALENCE RATE real, PREVALENCE PERCENTAGE real, patient text, birthdate date, deathdate date, ssn text, drivers text, passport text, prefix text, first text, last text, suffix text, maiden text, marital text, race text, ethnicity text, gender text, birthplace text, address text, ID text, DATE date, PATIENT text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START text, STOP text, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, ID text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE real, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE text, DESCRIPTION text, VALUE real, UNITS text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, ID text, PATIENT text, BILLABLEPERIOD date, ORGANIZATION text, ENCOUNTER text, DIAGNOSIS text, TOTAL integer) | For how long was Elly Koss required to take Acetaminophen? | SELECT strftime('%J', T2.STOP) - strftime('%J', T2.START) AS days FROM patients AS T1 INNER JOIN medications AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Elly' AND T1.last = 'Koss' AND T2.description LIKE 'Acetaminophen%' | bird |
CREATE TABLE synthea (ITEM text, POPULATION TYPE text, OCCURRENCES integer, POPULATION COUNT integer, PREVALENCE RATE real, PREVALENCE PERCENTAGE real, patient text, birthdate date, deathdate date, ssn text, drivers text, passport text, prefix text, first text, last text, suffix text, maiden text, marital text, race text, ethnicity text, gender text, birthplace text, address text, ID text, DATE date, PATIENT text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START text, STOP text, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, ID text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE real, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE text, DESCRIPTION text, VALUE real, UNITS text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, ID text, PATIENT text, BILLABLEPERIOD date, ORGANIZATION text, ENCOUNTER text, DIAGNOSIS text, TOTAL integer) | Please list all the medication that are prescribed to Elly Koss. | SELECT DISTINCT T2.description FROM patients AS T1 INNER JOIN medications AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Elly' AND T1.last = 'Koss' | bird |
CREATE TABLE synthea (ITEM text, POPULATION TYPE text, OCCURRENCES integer, POPULATION COUNT integer, PREVALENCE RATE real, PREVALENCE PERCENTAGE real, patient text, birthdate date, deathdate date, ssn text, drivers text, passport text, prefix text, first text, last text, suffix text, maiden text, marital text, race text, ethnicity text, gender text, birthplace text, address text, ID text, DATE date, PATIENT text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START text, STOP text, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, ID text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE real, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE text, DESCRIPTION text, VALUE real, UNITS text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, ID text, PATIENT text, BILLABLEPERIOD date, ORGANIZATION text, ENCOUNTER text, DIAGNOSIS text, TOTAL integer) | Why did Elly Koss need to take Acetaminophen? | SELECT T2.REASONDESCRIPTION FROM patients AS T1 INNER JOIN medications AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Elly' AND T1.last = 'Koss' AND T2.description LIKE 'Acetaminophen%' | bird |
CREATE TABLE synthea (ITEM text, POPULATION TYPE text, OCCURRENCES integer, POPULATION COUNT integer, PREVALENCE RATE real, PREVALENCE PERCENTAGE real, patient text, birthdate date, deathdate date, ssn text, drivers text, passport text, prefix text, first text, last text, suffix text, maiden text, marital text, race text, ethnicity text, gender text, birthplace text, address text, ID text, DATE date, PATIENT text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START text, STOP text, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, ID text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE real, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE text, DESCRIPTION text, VALUE real, UNITS text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, ID text, PATIENT text, BILLABLEPERIOD date, ORGANIZATION text, ENCOUNTER text, DIAGNOSIS text, TOTAL integer) | What medication did Elly Koss take when she had Streptococcal sore throat? | SELECT T2.description FROM patients AS T1 INNER JOIN medications AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Elly' AND T1.last = 'Koss' AND T2.reasondescription = 'Streptococcal sore throat (disorder)' | bird |
CREATE TABLE synthea (ITEM text, POPULATION TYPE text, OCCURRENCES integer, POPULATION COUNT integer, PREVALENCE RATE real, PREVALENCE PERCENTAGE real, patient text, birthdate date, deathdate date, ssn text, drivers text, passport text, prefix text, first text, last text, suffix text, maiden text, marital text, race text, ethnicity text, gender text, birthplace text, address text, ID text, DATE date, PATIENT text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START text, STOP text, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, ID text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE real, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE text, DESCRIPTION text, VALUE real, UNITS text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, ID text, PATIENT text, BILLABLEPERIOD date, ORGANIZATION text, ENCOUNTER text, DIAGNOSIS text, TOTAL integer) | Please give the full names of all the patients who had been prescribed with Acetaminophen. | SELECT DISTINCT T1.first, T1.last FROM patients AS T1 INNER JOIN medications AS T2 ON T1.patient = T2.PATIENT WHERE T2.description LIKE 'Acetaminophen%' | bird |
CREATE TABLE synthea (ITEM text, POPULATION TYPE text, OCCURRENCES integer, POPULATION COUNT integer, PREVALENCE RATE real, PREVALENCE PERCENTAGE real, patient text, birthdate date, deathdate date, ssn text, drivers text, passport text, prefix text, first text, last text, suffix text, maiden text, marital text, race text, ethnicity text, gender text, birthplace text, address text, ID text, DATE date, PATIENT text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START text, STOP text, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, ID text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE real, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE text, DESCRIPTION text, VALUE real, UNITS text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, ID text, PATIENT text, BILLABLEPERIOD date, ORGANIZATION text, ENCOUNTER text, DIAGNOSIS text, TOTAL integer) | What was the condition of Elly Koss on 2009/1/8? | SELECT T2.description FROM patients AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Elly' AND T1.last = 'Koss' AND T2.START = '2009-01-08' | bird |
CREATE TABLE synthea (ITEM text, POPULATION TYPE text, OCCURRENCES integer, POPULATION COUNT integer, PREVALENCE RATE real, PREVALENCE PERCENTAGE real, patient text, birthdate date, deathdate date, ssn text, drivers text, passport text, prefix text, first text, last text, suffix text, maiden text, marital text, race text, ethnicity text, gender text, birthplace text, address text, ID text, DATE date, PATIENT text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START text, STOP text, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, ID text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE real, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE text, DESCRIPTION text, VALUE real, UNITS text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, ID text, PATIENT text, BILLABLEPERIOD date, ORGANIZATION text, ENCOUNTER text, DIAGNOSIS text, TOTAL integer) | For how long did Elly Koss's cystitis last? | SELECT strftime('%J', T2.STOP) - strftime('%J', T2.START) AS days FROM patients AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Elly' AND T1.last = 'Koss' AND T2.description = 'Cystitis' | bird |
CREATE TABLE synthea (ITEM text, POPULATION TYPE text, OCCURRENCES integer, POPULATION COUNT integer, PREVALENCE RATE real, PREVALENCE PERCENTAGE real, patient text, birthdate date, deathdate date, ssn text, drivers text, passport text, prefix text, first text, last text, suffix text, maiden text, marital text, race text, ethnicity text, gender text, birthplace text, address text, ID text, DATE date, PATIENT text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START text, STOP text, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, ID text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE real, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE text, DESCRIPTION text, VALUE real, UNITS text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, ID text, PATIENT text, BILLABLEPERIOD date, ORGANIZATION text, ENCOUNTER text, DIAGNOSIS text, TOTAL integer) | According to all the observations of Elly Koss, what was her average weight? | SELECT AVG(T2.VALUE), T2.units FROM patients AS T1 INNER JOIN observations AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Elly' AND T1.last = 'Koss' AND T2.description = 'Body Weight' | bird |
CREATE TABLE synthea (ITEM text, POPULATION TYPE text, OCCURRENCES integer, POPULATION COUNT integer, PREVALENCE RATE real, PREVALENCE PERCENTAGE real, patient text, birthdate date, deathdate date, ssn text, drivers text, passport text, prefix text, first text, last text, suffix text, maiden text, marital text, race text, ethnicity text, gender text, birthplace text, address text, ID text, DATE date, PATIENT text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START text, STOP text, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, ID text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE real, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE text, DESCRIPTION text, VALUE real, UNITS text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, ID text, PATIENT text, BILLABLEPERIOD date, ORGANIZATION text, ENCOUNTER text, DIAGNOSIS text, TOTAL integer) | Among all the patients who once had cystitis, what was the percentage of them being married? | SELECT CAST(SUM(CASE WHEN T1.marital = 'M' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(DISTINCT T1.patient) FROM patients AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT WHERE T2.description = 'Cystitis' | bird |
CREATE TABLE synthea (ITEM text, POPULATION TYPE text, OCCURRENCES integer, POPULATION COUNT integer, PREVALENCE RATE real, PREVALENCE PERCENTAGE real, patient text, birthdate date, deathdate date, ssn text, drivers text, passport text, prefix text, first text, last text, suffix text, maiden text, marital text, race text, ethnicity text, gender text, birthplace text, address text, ID text, DATE date, PATIENT text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START text, STOP text, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, ID text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE real, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE text, DESCRIPTION text, VALUE real, UNITS text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, ID text, PATIENT text, BILLABLEPERIOD date, ORGANIZATION text, ENCOUNTER text, DIAGNOSIS text, TOTAL integer) | Give the body height status of Mr. Vincent Wyman on 2010/8/2. | SELECT T2.description, T2.VALUE, T2.units FROM patients AS T1 INNER JOIN observations AS T2 ON T1.patient = T2.PATIENT WHERE T1.prefix = 'Mr.' AND T1.first = 'Vincent' AND T1.last = 'Wyman' AND T2.date = '2010-08-02' AND T2.description = 'Body Height' | bird |
CREATE TABLE synthea (ITEM text, POPULATION TYPE text, OCCURRENCES integer, POPULATION COUNT integer, PREVALENCE RATE real, PREVALENCE PERCENTAGE real, patient text, birthdate date, deathdate date, ssn text, drivers text, passport text, prefix text, first text, last text, suffix text, maiden text, marital text, race text, ethnicity text, gender text, birthplace text, address text, ID text, DATE date, PATIENT text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START text, STOP text, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, ID text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE real, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE text, DESCRIPTION text, VALUE real, UNITS text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, ID text, PATIENT text, BILLABLEPERIOD date, ORGANIZATION text, ENCOUNTER text, DIAGNOSIS text, TOTAL integer) | How many care plans has Mrs. Norman Berge taken? | SELECT COUNT(T2.PATIENT) FROM patients AS T1 INNER JOIN careplans AS T2 ON T1.patient = T2.PATIENT WHERE T1.prefix = 'Mrs.' AND T1.first = 'Norman' AND T1.last = 'Berge' | bird |
CREATE TABLE synthea (ITEM text, POPULATION TYPE text, OCCURRENCES integer, POPULATION COUNT integer, PREVALENCE RATE real, PREVALENCE PERCENTAGE real, patient text, birthdate date, deathdate date, ssn text, drivers text, passport text, prefix text, first text, last text, suffix text, maiden text, marital text, race text, ethnicity text, gender text, birthplace text, address text, ID text, DATE date, PATIENT text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START text, STOP text, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, ID text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE real, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE text, DESCRIPTION text, VALUE real, UNITS text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, ID text, PATIENT text, BILLABLEPERIOD date, ORGANIZATION text, ENCOUNTER text, DIAGNOSIS text, TOTAL integer) | Why did Mrs. Annabelle Pouros take leucovorin 100 mg injection on 1970/12/19? State the reason. | SELECT T2.reasondescription FROM patients AS T1 INNER JOIN medications AS T2 ON T1.patient = T2.PATIENT WHERE T1.prefix = 'Mrs.' AND T1.first = 'Annabelle' AND T1.last = 'Pouros' AND T2.start = '1970-12-19' AND T2.description = 'Leucovorin 100 MG Injection' | bird |
CREATE TABLE synthea (ITEM text, POPULATION TYPE text, OCCURRENCES integer, POPULATION COUNT integer, PREVALENCE RATE real, PREVALENCE PERCENTAGE real, patient text, birthdate date, deathdate date, ssn text, drivers text, passport text, prefix text, first text, last text, suffix text, maiden text, marital text, race text, ethnicity text, gender text, birthplace text, address text, ID text, DATE date, PATIENT text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START text, STOP text, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, ID text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE real, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE text, DESCRIPTION text, VALUE real, UNITS text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, ID text, PATIENT text, BILLABLEPERIOD date, ORGANIZATION text, ENCOUNTER text, DIAGNOSIS text, TOTAL integer) | What is the prevalence percentage of condition no. 64859006? | SELECT DISTINCT T1."PREVALENCE PERCENTAGE" FROM all_prevalences AS T1 INNER JOIN conditions AS T2 ON lower(T1.ITEM) = lower(T2.DESCRIPTION) WHERE T2.code = '64859006' | bird |
CREATE TABLE synthea (ITEM text, POPULATION TYPE text, OCCURRENCES integer, POPULATION COUNT integer, PREVALENCE RATE real, PREVALENCE PERCENTAGE real, patient text, birthdate date, deathdate date, ssn text, drivers text, passport text, prefix text, first text, last text, suffix text, maiden text, marital text, race text, ethnicity text, gender text, birthplace text, address text, ID text, DATE date, PATIENT text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START text, STOP text, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, ID text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE real, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE text, DESCRIPTION text, VALUE real, UNITS text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, ID text, PATIENT text, BILLABLEPERIOD date, ORGANIZATION text, ENCOUNTER text, DIAGNOSIS text, TOTAL integer) | State the prevalence rate of condition no. 368581000119106. | SELECT DISTINCT T1."PREVALENCE RATE" FROM all_prevalences AS T1 INNER JOIN conditions AS T2 ON lower(T1.ITEM) = lower(T2.DESCRIPTION) WHERE T2.code = '368581000119106' | bird |
CREATE TABLE synthea (ITEM text, POPULATION TYPE text, OCCURRENCES integer, POPULATION COUNT integer, PREVALENCE RATE real, PREVALENCE PERCENTAGE real, patient text, birthdate date, deathdate date, ssn text, drivers text, passport text, prefix text, first text, last text, suffix text, maiden text, marital text, race text, ethnicity text, gender text, birthplace text, address text, ID text, DATE date, PATIENT text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START text, STOP text, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, ID text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE real, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE text, DESCRIPTION text, VALUE real, UNITS text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, ID text, PATIENT text, BILLABLEPERIOD date, ORGANIZATION text, ENCOUNTER text, DIAGNOSIS text, TOTAL integer) | Give the procedure description of Ms. Jacquelyn Shanahan on 2009/8/9. | SELECT DISTINCT T2.description FROM patients AS T1 INNER JOIN procedures AS T2 ON T1.patient = T2.PATIENT WHERE T1.prefix = 'Ms.' AND T1.first = 'Jacquelyn' AND T1.last = 'Shanahan' AND T2.DATE = '2009-08-09' | bird |
CREATE TABLE synthea (ITEM text, POPULATION TYPE text, OCCURRENCES integer, POPULATION COUNT integer, PREVALENCE RATE real, PREVALENCE PERCENTAGE real, patient text, birthdate date, deathdate date, ssn text, drivers text, passport text, prefix text, first text, last text, suffix text, maiden text, marital text, race text, ethnicity text, gender text, birthplace text, address text, ID text, DATE date, PATIENT text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START text, STOP text, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, ID text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE real, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE text, DESCRIPTION text, VALUE real, UNITS text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, ID text, PATIENT text, BILLABLEPERIOD date, ORGANIZATION text, ENCOUNTER text, DIAGNOSIS text, TOTAL integer) | Give the number of claims did Ms. Abbie Cole have in the year of 2011. | SELECT COUNT(T2.BILLABLEPERIOD) FROM patients AS T1 INNER JOIN claims AS T2 ON T1.patient = T2.PATIENT WHERE T1.prefix = 'Ms.' AND T1.first = 'Abbie' AND T1.last = 'Cole' AND T2.BILLABLEPERIOD BETWEEN '2010-12-31' AND '2012-01-01' | bird |
CREATE TABLE synthea (ITEM text, POPULATION TYPE text, OCCURRENCES integer, POPULATION COUNT integer, PREVALENCE RATE real, PREVALENCE PERCENTAGE real, patient text, birthdate date, deathdate date, ssn text, drivers text, passport text, prefix text, first text, last text, suffix text, maiden text, marital text, race text, ethnicity text, gender text, birthplace text, address text, ID text, DATE date, PATIENT text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START text, STOP text, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, ID text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE real, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE text, DESCRIPTION text, VALUE real, UNITS text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, ID text, PATIENT text, BILLABLEPERIOD date, ORGANIZATION text, ENCOUNTER text, DIAGNOSIS text, TOTAL integer) | How many allergies does Mrs. Saundra Monahan have? | SELECT COUNT(DISTINCT T2.code) FROM patients AS T1 INNER JOIN allergies AS T2 ON T1.patient = T2.PATIENT WHERE T1.prefix = 'Mrs.' AND T1.first = 'Saundra' AND T1.last = 'Monahan' | bird |
CREATE TABLE synthea (ITEM text, POPULATION TYPE text, OCCURRENCES integer, POPULATION COUNT integer, PREVALENCE RATE real, PREVALENCE PERCENTAGE real, patient text, birthdate date, deathdate date, ssn text, drivers text, passport text, prefix text, first text, last text, suffix text, maiden text, marital text, race text, ethnicity text, gender text, birthplace text, address text, ID text, DATE date, PATIENT text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START text, STOP text, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, ID text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE real, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE text, DESCRIPTION text, VALUE real, UNITS text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, ID text, PATIENT text, BILLABLEPERIOD date, ORGANIZATION text, ENCOUNTER text, DIAGNOSIS text, TOTAL integer) | Provide the name of the patient who had a claim on 1947/9/11. | SELECT T1.first, T1.last FROM patients AS T1 INNER JOIN claims AS T2 ON T1.patient = T2.PATIENT WHERE T2.billableperiod = '1947-09-11' | bird |
CREATE TABLE synthea (ITEM text, POPULATION TYPE text, OCCURRENCES integer, POPULATION COUNT integer, PREVALENCE RATE real, PREVALENCE PERCENTAGE real, patient text, birthdate date, deathdate date, ssn text, drivers text, passport text, prefix text, first text, last text, suffix text, maiden text, marital text, race text, ethnicity text, gender text, birthplace text, address text, ID text, DATE date, PATIENT text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START text, STOP text, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, ID text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE real, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE text, DESCRIPTION text, VALUE real, UNITS text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, ID text, PATIENT text, BILLABLEPERIOD date, ORGANIZATION text, ENCOUNTER text, DIAGNOSIS text, TOTAL integer) | Describe the encounter of Mr. Hubert Baumbach on 2008/10/25. | SELECT T2.description FROM patients AS T1 INNER JOIN encounters AS T2 ON T1.patient = T2.PATIENT WHERE T1.prefix = 'Mr.' AND T1.first = 'Hubert' AND T1.last = 'Baumbach' AND T2.date = '2008-10-25' | bird |
CREATE TABLE synthea (ITEM text, POPULATION TYPE text, OCCURRENCES integer, POPULATION COUNT integer, PREVALENCE RATE real, PREVALENCE PERCENTAGE real, patient text, birthdate date, deathdate date, ssn text, drivers text, passport text, prefix text, first text, last text, suffix text, maiden text, marital text, race text, ethnicity text, gender text, birthplace text, address text, ID text, DATE date, PATIENT text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START text, STOP text, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, ID text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE real, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE text, DESCRIPTION text, VALUE real, UNITS text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, ID text, PATIENT text, BILLABLEPERIOD date, ORGANIZATION text, ENCOUNTER text, DIAGNOSIS text, TOTAL integer) | What kind of condition did Keven Kuhn have from 2016/9/24 to 2016/10/10? Describe the condition. | SELECT T2.description FROM patients AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Keven' AND T1.last = 'Kuhn' AND T2.start = '2016-09-24' AND T2.stop = '2016-10-10' | bird |
CREATE TABLE synthea (ITEM text, POPULATION TYPE text, OCCURRENCES integer, POPULATION COUNT integer, PREVALENCE RATE real, PREVALENCE PERCENTAGE real, patient text, birthdate date, deathdate date, ssn text, drivers text, passport text, prefix text, first text, last text, suffix text, maiden text, marital text, race text, ethnicity text, gender text, birthplace text, address text, ID text, DATE date, PATIENT text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START text, STOP text, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, ID text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE real, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE text, DESCRIPTION text, VALUE real, UNITS text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, ID text, PATIENT text, BILLABLEPERIOD date, ORGANIZATION text, ENCOUNTER text, DIAGNOSIS text, TOTAL integer) | When did Mrs. Ira Deckow have the standard pregnancy test? | SELECT T2.date FROM patients AS T1 INNER JOIN procedures AS T2 ON T1.patient = T2.PATIENT WHERE T1.prefix = 'Mrs.' AND T1.first = 'Ira' AND T1.last = 'Deckow' AND T2.description = 'Standard pregnancy test' | bird |
CREATE TABLE synthea (ITEM text, POPULATION TYPE text, OCCURRENCES integer, POPULATION COUNT integer, PREVALENCE RATE real, PREVALENCE PERCENTAGE real, patient text, birthdate date, deathdate date, ssn text, drivers text, passport text, prefix text, first text, last text, suffix text, maiden text, marital text, race text, ethnicity text, gender text, birthplace text, address text, ID text, DATE date, PATIENT text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START text, STOP text, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, ID text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE real, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE text, DESCRIPTION text, VALUE real, UNITS text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, ID text, PATIENT text, BILLABLEPERIOD date, ORGANIZATION text, ENCOUNTER text, DIAGNOSIS text, TOTAL integer) | Calculate the average period of Mr. Wesley Lemke's care plans. | SELECT CAST(SUM(strftime('%J', T2.STOP) - strftime('%J', T2.START)) AS REAL) / COUNT(T1.patient) FROM patients AS T1 INNER JOIN careplans AS T2 ON T1.patient = T2.PATIENT WHERE T1.prefix = 'Mr.' AND T1.first = 'Wesley' AND T1.last = 'Lemke' | bird |
CREATE TABLE synthea (ITEM text, POPULATION TYPE text, OCCURRENCES integer, POPULATION COUNT integer, PREVALENCE RATE real, PREVALENCE PERCENTAGE real, patient text, birthdate date, deathdate date, ssn text, drivers text, passport text, prefix text, first text, last text, suffix text, maiden text, marital text, race text, ethnicity text, gender text, birthplace text, address text, ID text, DATE date, PATIENT text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START text, STOP text, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, ID text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE real, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE text, DESCRIPTION text, VALUE real, UNITS text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, ID text, PATIENT text, BILLABLEPERIOD date, ORGANIZATION text, ENCOUNTER text, DIAGNOSIS text, TOTAL integer) | State the average period of Ms. Angelena Kertzmann's several normal pregnancies. | SELECT CAST(SUM(strftime('%J', T2.STOP) - strftime('%J', T2.START)) AS REAL) / COUNT(T2.PATIENT) FROM patients AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT WHERE T1.prefix = 'Ms.' AND T1.first = 'Angelena' AND T1.last = 'Kertzmann' AND T2.description = 'Normal pregnancy' | bird |
CREATE TABLE synthea (ITEM text, POPULATION TYPE text, OCCURRENCES integer, POPULATION COUNT integer, PREVALENCE RATE real, PREVALENCE PERCENTAGE real, patient text, birthdate date, deathdate date, ssn text, drivers text, passport text, prefix text, first text, last text, suffix text, maiden text, marital text, race text, ethnicity text, gender text, birthplace text, address text, ID text, DATE date, PATIENT text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START text, STOP text, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, ID text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE real, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE text, DESCRIPTION text, VALUE real, UNITS text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, ID text, PATIENT text, BILLABLEPERIOD date, ORGANIZATION text, ENCOUNTER text, DIAGNOSIS text, TOTAL integer) | What is the id of the patient who has the longest allergy period? | SELECT PATIENT FROM allergies WHERE STOP IS NOT NULL GROUP BY PATIENT ORDER BY CASE WHEN SUBSTR(STOP, -2, 1) != '9' THEN SUBSTR(STOP, LENGTH(STOP) - 1) + 2000 END - CASE WHEN SUBSTR(START, -2, 1) = '9' THEN SUBSTR(START, LENGTH(START) - 1) + 1900 ELSE SUBSTR(START, LENGTH(START) - 1) + 2000 END LIMIT 1 | bird |
CREATE TABLE synthea (ITEM text, POPULATION TYPE text, OCCURRENCES integer, POPULATION COUNT integer, PREVALENCE RATE real, PREVALENCE PERCENTAGE real, patient text, birthdate date, deathdate date, ssn text, drivers text, passport text, prefix text, first text, last text, suffix text, maiden text, marital text, race text, ethnicity text, gender text, birthplace text, address text, ID text, DATE date, PATIENT text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START text, STOP text, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, ID text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE real, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE text, DESCRIPTION text, VALUE real, UNITS text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, ID text, PATIENT text, BILLABLEPERIOD date, ORGANIZATION text, ENCOUNTER text, DIAGNOSIS text, TOTAL integer) | How many patients have diabetes that started in 1988? | SELECT COUNT(PATIENT) FROM conditions WHERE DESCRIPTION = 'Diabetes' AND strftime('%Y', START) = '1988' | bird |
CREATE TABLE synthea (ITEM text, POPULATION TYPE text, OCCURRENCES integer, POPULATION COUNT integer, PREVALENCE RATE real, PREVALENCE PERCENTAGE real, patient text, birthdate date, deathdate date, ssn text, drivers text, passport text, prefix text, first text, last text, suffix text, maiden text, marital text, race text, ethnicity text, gender text, birthplace text, address text, ID text, DATE date, PATIENT text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START text, STOP text, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, ID text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE real, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE text, DESCRIPTION text, VALUE real, UNITS text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, ID text, PATIENT text, BILLABLEPERIOD date, ORGANIZATION text, ENCOUNTER text, DIAGNOSIS text, TOTAL integer) | How many patients are allergic to eggs? | SELECT COUNT(PATIENT) FROM allergies WHERE DESCRIPTION = 'Allergy to eggs' | bird |
CREATE TABLE synthea (ITEM text, POPULATION TYPE text, OCCURRENCES integer, POPULATION COUNT integer, PREVALENCE RATE real, PREVALENCE PERCENTAGE real, patient text, birthdate date, deathdate date, ssn text, drivers text, passport text, prefix text, first text, last text, suffix text, maiden text, marital text, race text, ethnicity text, gender text, birthplace text, address text, ID text, DATE date, PATIENT text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START text, STOP text, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, ID text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE real, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE text, DESCRIPTION text, VALUE real, UNITS text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, ID text, PATIENT text, BILLABLEPERIOD date, ORGANIZATION text, ENCOUNTER text, DIAGNOSIS text, TOTAL integer) | What is the id of the patient whose hypertension started most recently? | SELECT PATIENT FROM conditions WHERE START = ( SELECT MAX(START) FROM conditions WHERE DESCRIPTION = 'Hypertension' ) | bird |
CREATE TABLE synthea (ITEM text, POPULATION TYPE text, OCCURRENCES integer, POPULATION COUNT integer, PREVALENCE RATE real, PREVALENCE PERCENTAGE real, patient text, birthdate date, deathdate date, ssn text, drivers text, passport text, prefix text, first text, last text, suffix text, maiden text, marital text, race text, ethnicity text, gender text, birthplace text, address text, ID text, DATE date, PATIENT text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START text, STOP text, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, ID text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE real, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE text, DESCRIPTION text, VALUE real, UNITS text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, ID text, PATIENT text, BILLABLEPERIOD date, ORGANIZATION text, ENCOUNTER text, DIAGNOSIS text, TOTAL integer) | What is the most common allergy among patients? | SELECT DESCRIPTION FROM allergies GROUP BY DESCRIPTION ORDER BY COUNT(DESCRIPTION) DESC LIMIT 1 | bird |
CREATE TABLE synthea (ITEM text, POPULATION TYPE text, OCCURRENCES integer, POPULATION COUNT integer, PREVALENCE RATE real, PREVALENCE PERCENTAGE real, patient text, birthdate date, deathdate date, ssn text, drivers text, passport text, prefix text, first text, last text, suffix text, maiden text, marital text, race text, ethnicity text, gender text, birthplace text, address text, ID text, DATE date, PATIENT text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START text, STOP text, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, ID text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE real, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE text, DESCRIPTION text, VALUE real, UNITS text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, ID text, PATIENT text, BILLABLEPERIOD date, ORGANIZATION text, ENCOUNTER text, DIAGNOSIS text, TOTAL integer) | What is/are the ids of the tallest patient/s? | SELECT PATIENT FROM observations WHERE DESCRIPTION = 'Body Height' AND UNITS = 'cm' ORDER BY VALUE DESC LIMIT 1 | bird |
CREATE TABLE synthea (ITEM text, POPULATION TYPE text, OCCURRENCES integer, POPULATION COUNT integer, PREVALENCE RATE real, PREVALENCE PERCENTAGE real, patient text, birthdate date, deathdate date, ssn text, drivers text, passport text, prefix text, first text, last text, suffix text, maiden text, marital text, race text, ethnicity text, gender text, birthplace text, address text, ID text, DATE date, PATIENT text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START text, STOP text, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, ID text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE real, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE text, DESCRIPTION text, VALUE real, UNITS text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, ID text, PATIENT text, BILLABLEPERIOD date, ORGANIZATION text, ENCOUNTER text, DIAGNOSIS text, TOTAL integer) | What is the most common condition among the female Americans? | SELECT T2.DESCRIPTION FROM patients AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT WHERE T1.gender = 'F' AND T1.ethnicity = 'american' GROUP BY T2.DESCRIPTION ORDER BY COUNT(T2.DESCRIPTION) DESC LIMIT 1 | bird |
CREATE TABLE synthea (ITEM text, POPULATION TYPE text, OCCURRENCES integer, POPULATION COUNT integer, PREVALENCE RATE real, PREVALENCE PERCENTAGE real, patient text, birthdate date, deathdate date, ssn text, drivers text, passport text, prefix text, first text, last text, suffix text, maiden text, marital text, race text, ethnicity text, gender text, birthplace text, address text, ID text, DATE date, PATIENT text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START text, STOP text, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, ID text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE real, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE text, DESCRIPTION text, VALUE real, UNITS text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, ID text, PATIENT text, BILLABLEPERIOD date, ORGANIZATION text, ENCOUNTER text, DIAGNOSIS text, TOTAL integer) | Among the patients that started taking Ibuprofen 200mg Oral Tablet in 2016, how many Dominican patients stopped taking the medicine after exactly one month? | SELECT COUNT(DISTINCT T1.patient) FROM patients AS T1 INNER JOIN medications AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Ibuprofen 200 MG Oral Tablet' AND T1.ethnicity = 'dominican' AND strftime('%Y', T2.START) = '2016' AND strftime('%m', T2.STOP) - strftime('%m', T2.START) = 1 | bird |
CREATE TABLE synthea (ITEM text, POPULATION TYPE text, OCCURRENCES integer, POPULATION COUNT integer, PREVALENCE RATE real, PREVALENCE PERCENTAGE real, patient text, birthdate date, deathdate date, ssn text, drivers text, passport text, prefix text, first text, last text, suffix text, maiden text, marital text, race text, ethnicity text, gender text, birthplace text, address text, ID text, DATE date, PATIENT text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START text, STOP text, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, ID text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE real, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE text, DESCRIPTION text, VALUE real, UNITS text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, ID text, PATIENT text, BILLABLEPERIOD date, ORGANIZATION text, ENCOUNTER text, DIAGNOSIS text, TOTAL integer) | How many of the patients born in 1920s had pneumonia? | SELECT COUNT(DISTINCT T1.patient) FROM patients AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT WHERE DESCRIPTION = 'Pneumonia' AND strftime('%Y', T1.birthdate) LIKE '192%' | bird |
CREATE TABLE synthea (ITEM text, POPULATION TYPE text, OCCURRENCES integer, POPULATION COUNT integer, PREVALENCE RATE real, PREVALENCE PERCENTAGE real, patient text, birthdate date, deathdate date, ssn text, drivers text, passport text, prefix text, first text, last text, suffix text, maiden text, marital text, race text, ethnicity text, gender text, birthplace text, address text, ID text, DATE date, PATIENT text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START text, STOP text, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, ID text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE real, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE text, DESCRIPTION text, VALUE real, UNITS text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, ID text, PATIENT text, BILLABLEPERIOD date, ORGANIZATION text, ENCOUNTER text, DIAGNOSIS text, TOTAL integer) | What are the full names of the patients who started taking Yaz 28 Day Pack in 2011? | SELECT DISTINCT T1.first, T1.last, T1.suffix FROM patients AS T1 INNER JOIN medications AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Yaz 28 Day Pack' AND strftime('%Y', T2.START) = '2011' | bird |
CREATE TABLE synthea (ITEM text, POPULATION TYPE text, OCCURRENCES integer, POPULATION COUNT integer, PREVALENCE RATE real, PREVALENCE PERCENTAGE real, patient text, birthdate date, deathdate date, ssn text, drivers text, passport text, prefix text, first text, last text, suffix text, maiden text, marital text, race text, ethnicity text, gender text, birthplace text, address text, ID text, DATE date, PATIENT text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START text, STOP text, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, ID text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE real, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE text, DESCRIPTION text, VALUE real, UNITS text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, ID text, PATIENT text, BILLABLEPERIOD date, ORGANIZATION text, ENCOUNTER text, DIAGNOSIS text, TOTAL integer) | How many Black patients were immunized with DTaP in 2013? | SELECT COUNT(DISTINCT T1.patient) FROM patients AS T1 INNER JOIN immunizations AS T2 ON T1.patient = T2.PATIENT WHERE T1.race = 'black' AND T2.DESCRIPTION = 'DTaP' AND strftime('%Y', T2.DATE) = '2013' | bird |
CREATE TABLE synthea (ITEM text, POPULATION TYPE text, OCCURRENCES integer, POPULATION COUNT integer, PREVALENCE RATE real, PREVALENCE PERCENTAGE real, patient text, birthdate date, deathdate date, ssn text, drivers text, passport text, prefix text, first text, last text, suffix text, maiden text, marital text, race text, ethnicity text, gender text, birthplace text, address text, ID text, DATE date, PATIENT text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START text, STOP text, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, ID text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE real, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE text, DESCRIPTION text, VALUE real, UNITS text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, ID text, PATIENT text, BILLABLEPERIOD date, ORGANIZATION text, ENCOUNTER text, DIAGNOSIS text, TOTAL integer) | How many immunizations did the patient with the most prevalent condition that started recently get? | SELECT COUNT(T2.patient) FROM all_prevalences AS T1 INNER JOIN conditions AS T2 ON lower(T1.ITEM) = lower(T2.DESCRIPTION) INNER JOIN immunizations AS T3 ON T2.PATIENT = T3.PATIENT GROUP BY T2.PATIENT ORDER BY T2.START DESC, T1."PREVALENCE RATE" DESC LIMIT 1 | bird |
CREATE TABLE synthea (ITEM text, POPULATION TYPE text, OCCURRENCES integer, POPULATION COUNT integer, PREVALENCE RATE real, PREVALENCE PERCENTAGE real, patient text, birthdate date, deathdate date, ssn text, drivers text, passport text, prefix text, first text, last text, suffix text, maiden text, marital text, race text, ethnicity text, gender text, birthplace text, address text, ID text, DATE date, PATIENT text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START text, STOP text, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, ID text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE real, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE text, DESCRIPTION text, VALUE real, UNITS text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, ID text, PATIENT text, BILLABLEPERIOD date, ORGANIZATION text, ENCOUNTER text, DIAGNOSIS text, TOTAL integer) | How many patients have the most prevalent conditions? | SELECT COUNT(DISTINCT T2.patient) FROM all_prevalences AS T1 INNER JOIN conditions AS T2 ON lower(T1.ITEM) = lower(T2.DESCRIPTION) ORDER BY T1."PREVALENCE RATE" DESC LIMIT 1 | bird |
CREATE TABLE synthea (ITEM text, POPULATION TYPE text, OCCURRENCES integer, POPULATION COUNT integer, PREVALENCE RATE real, PREVALENCE PERCENTAGE real, patient text, birthdate date, deathdate date, ssn text, drivers text, passport text, prefix text, first text, last text, suffix text, maiden text, marital text, race text, ethnicity text, gender text, birthplace text, address text, ID text, DATE date, PATIENT text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START text, STOP text, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, ID text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE real, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE text, DESCRIPTION text, VALUE real, UNITS text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, ID text, PATIENT text, BILLABLEPERIOD date, ORGANIZATION text, ENCOUNTER text, DIAGNOSIS text, TOTAL integer) | What is the most common condition among the patients who received influenza seasonal injectable preservative free immunization? | SELECT T2.DESCRIPTION FROM immunizations AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT WHERE T1.DESCRIPTION = 'Influenza seasonal injectable preservative free' GROUP BY T2.DESCRIPTION ORDER BY COUNT(T2.DESCRIPTION) DESC LIMIT 1 | bird |
CREATE TABLE synthea (ITEM text, POPULATION TYPE text, OCCURRENCES integer, POPULATION COUNT integer, PREVALENCE RATE real, PREVALENCE PERCENTAGE real, patient text, birthdate date, deathdate date, ssn text, drivers text, passport text, prefix text, first text, last text, suffix text, maiden text, marital text, race text, ethnicity text, gender text, birthplace text, address text, ID text, DATE date, PATIENT text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START text, STOP text, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, ID text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE real, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE text, DESCRIPTION text, VALUE real, UNITS text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, ID text, PATIENT text, BILLABLEPERIOD date, ORGANIZATION text, ENCOUNTER text, DIAGNOSIS text, TOTAL integer) | List the ids of all the patients with condition that has a prevalence percentage of 18.8%. | SELECT DISTINCT T1.PATIENT FROM conditions AS T1 INNER JOIN all_prevalences AS T2 ON lower(T2.ITEM) = lower(T1.DESCRIPTION) WHERE T2."PREVALENCE PERCENTAGE" = CAST(18.8 AS float) | bird |
CREATE TABLE synthea (ITEM text, POPULATION TYPE text, OCCURRENCES integer, POPULATION COUNT integer, PREVALENCE RATE real, PREVALENCE PERCENTAGE real, patient text, birthdate date, deathdate date, ssn text, drivers text, passport text, prefix text, first text, last text, suffix text, maiden text, marital text, race text, ethnicity text, gender text, birthplace text, address text, ID text, DATE date, PATIENT text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START text, STOP text, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, ID text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE real, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE text, DESCRIPTION text, VALUE real, UNITS text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, ID text, PATIENT text, BILLABLEPERIOD date, ORGANIZATION text, ENCOUNTER text, DIAGNOSIS text, TOTAL integer) | How many conditions did Tyree Eichmann have? | SELECT COUNT(DISTINCT T2.DESCRIPTION) FROM patients AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Tyree' AND T1.last = 'Eichmann' | bird |
CREATE TABLE synthea (ITEM text, POPULATION TYPE text, OCCURRENCES integer, POPULATION COUNT integer, PREVALENCE RATE real, PREVALENCE PERCENTAGE real, patient text, birthdate date, deathdate date, ssn text, drivers text, passport text, prefix text, first text, last text, suffix text, maiden text, marital text, race text, ethnicity text, gender text, birthplace text, address text, ID text, DATE date, PATIENT text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START text, STOP text, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, ID text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE real, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE text, DESCRIPTION text, VALUE real, UNITS text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, ID text, PATIENT text, BILLABLEPERIOD date, ORGANIZATION text, ENCOUNTER text, DIAGNOSIS text, TOTAL integer) | Among the patients who were immunized with meningococcal MCV4P, how many have viral sinusitis disorder after getting the immunization? | SELECT COUNT(DISTINCT T1.patient) FROM immunizations AS T1 INNER JOIN conditions AS T2 ON T1.patient = T2.PATIENT WHERE T1.DESCRIPTION = 'meningococcal MCV4P' AND T2.DESCRIPTION = 'Viral sinusitis (disorder)' | bird |
CREATE TABLE synthea (ITEM text, POPULATION TYPE text, OCCURRENCES integer, POPULATION COUNT integer, PREVALENCE RATE real, PREVALENCE PERCENTAGE real, patient text, birthdate date, deathdate date, ssn text, drivers text, passport text, prefix text, first text, last text, suffix text, maiden text, marital text, race text, ethnicity text, gender text, birthplace text, address text, ID text, DATE date, PATIENT text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START text, STOP text, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, ID text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE real, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE text, DESCRIPTION text, VALUE real, UNITS text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, ID text, PATIENT text, BILLABLEPERIOD date, ORGANIZATION text, ENCOUNTER text, DIAGNOSIS text, TOTAL integer) | Among the patients with prediabetes, how many are female? | SELECT COUNT(DISTINCT T2.patient) FROM conditions AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T2.gender = 'F' AND T1.DESCRIPTION = 'Prediabetes' | bird |
CREATE TABLE synthea (ITEM text, POPULATION TYPE text, OCCURRENCES integer, POPULATION COUNT integer, PREVALENCE RATE real, PREVALENCE PERCENTAGE real, patient text, birthdate date, deathdate date, ssn text, drivers text, passport text, prefix text, first text, last text, suffix text, maiden text, marital text, race text, ethnicity text, gender text, birthplace text, address text, ID text, DATE date, PATIENT text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START text, STOP text, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, ID text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE real, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE text, DESCRIPTION text, VALUE real, UNITS text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, ID text, PATIENT text, BILLABLEPERIOD date, ORGANIZATION text, ENCOUNTER text, DIAGNOSIS text, TOTAL integer) | Indicate the patient's full name with the lowest body mass index in kg/m2. | SELECT T1.first, T1.last FROM patients AS T1 INNER JOIN observations AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Body Mass Index' AND T2.UNITS = 'kg/m2' ORDER BY T2.VALUE LIMIT 1 | bird |
CREATE TABLE synthea (ITEM text, POPULATION TYPE text, OCCURRENCES integer, POPULATION COUNT integer, PREVALENCE RATE real, PREVALENCE PERCENTAGE real, patient text, birthdate date, deathdate date, ssn text, drivers text, passport text, prefix text, first text, last text, suffix text, maiden text, marital text, race text, ethnicity text, gender text, birthplace text, address text, ID text, DATE date, PATIENT text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START text, STOP text, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, ID text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE real, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE text, DESCRIPTION text, VALUE real, UNITS text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, ID text, PATIENT text, BILLABLEPERIOD date, ORGANIZATION text, ENCOUNTER text, DIAGNOSIS text, TOTAL integer) | What is the age of the patient with hypertension named Giovanni Russel? | SELECT strftime('%Y', T2.deathdate) - strftime('%Y', T2.birthdate) AS age FROM conditions AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T2.first = 'Giovanni' AND T2.last = 'Russel' AND T1.DESCRIPTION = 'Hypertension' | bird |
CREATE TABLE synthea (ITEM text, POPULATION TYPE text, OCCURRENCES integer, POPULATION COUNT integer, PREVALENCE RATE real, PREVALENCE PERCENTAGE real, patient text, birthdate date, deathdate date, ssn text, drivers text, passport text, prefix text, first text, last text, suffix text, maiden text, marital text, race text, ethnicity text, gender text, birthplace text, address text, ID text, DATE date, PATIENT text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START text, STOP text, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, ID text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE real, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE text, DESCRIPTION text, VALUE real, UNITS text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, ID text, PATIENT text, BILLABLEPERIOD date, ORGANIZATION text, ENCOUNTER text, DIAGNOSIS text, TOTAL integer) | How many Asian female patients take oxaliplatin 5 MG/ML [Eloxatin]? | SELECT COUNT(DISTINCT T2.patient) FROM medications AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T1.DESCRIPTION = 'oxaliplatin 5 MG/ML [Eloxatin]' AND T2.race = 'asian' AND T2.gender = 'F' | bird |
CREATE TABLE synthea (ITEM text, POPULATION TYPE text, OCCURRENCES integer, POPULATION COUNT integer, PREVALENCE RATE real, PREVALENCE PERCENTAGE real, patient text, birthdate date, deathdate date, ssn text, drivers text, passport text, prefix text, first text, last text, suffix text, maiden text, marital text, race text, ethnicity text, gender text, birthplace text, address text, ID text, DATE date, PATIENT text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START text, STOP text, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, ID text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE real, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE text, DESCRIPTION text, VALUE real, UNITS text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, ID text, PATIENT text, BILLABLEPERIOD date, ORGANIZATION text, ENCOUNTER text, DIAGNOSIS text, TOTAL integer) | Count all of the living patients that had a stroke. | SELECT COUNT(DISTINCT T2.patient) FROM conditions AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T1.description = 'Stroke' AND T2.deathdate IS NULL | bird |
CREATE TABLE synthea (ITEM text, POPULATION TYPE text, OCCURRENCES integer, POPULATION COUNT integer, PREVALENCE RATE real, PREVALENCE PERCENTAGE real, patient text, birthdate date, deathdate date, ssn text, drivers text, passport text, prefix text, first text, last text, suffix text, maiden text, marital text, race text, ethnicity text, gender text, birthplace text, address text, ID text, DATE date, PATIENT text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START text, STOP text, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, ID text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE real, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE text, DESCRIPTION text, VALUE real, UNITS text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, ID text, PATIENT text, BILLABLEPERIOD date, ORGANIZATION text, ENCOUNTER text, DIAGNOSIS text, TOTAL integer) | What is the total number of Asian patients who are allergic to peanuts? | SELECT COUNT(T2.patient) FROM allergies AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T1.DESCRIPTION = 'Allergy to peanuts' AND T2.race = 'asian' | bird |
CREATE TABLE synthea (ITEM text, POPULATION TYPE text, OCCURRENCES integer, POPULATION COUNT integer, PREVALENCE RATE real, PREVALENCE PERCENTAGE real, patient text, birthdate date, deathdate date, ssn text, drivers text, passport text, prefix text, first text, last text, suffix text, maiden text, marital text, race text, ethnicity text, gender text, birthplace text, address text, ID text, DATE date, PATIENT text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START text, STOP text, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, ID text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE real, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE text, DESCRIPTION text, VALUE real, UNITS text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, ID text, PATIENT text, BILLABLEPERIOD date, ORGANIZATION text, ENCOUNTER text, DIAGNOSIS text, TOTAL integer) | Among the patients with hypertension, what is the average of their diastolic blood pressure? | SELECT AVG(T1.VALUE) FROM observations AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient INNER JOIN conditions AS T3 ON T2.patient = T3.PATIENT WHERE T3.DESCRIPTION = 'Hypertension' AND T1.DESCRIPTION = 'Diastolic Blood Pressure' | bird |
CREATE TABLE synthea (ITEM text, POPULATION TYPE text, OCCURRENCES integer, POPULATION COUNT integer, PREVALENCE RATE real, PREVALENCE PERCENTAGE real, patient text, birthdate date, deathdate date, ssn text, drivers text, passport text, prefix text, first text, last text, suffix text, maiden text, marital text, race text, ethnicity text, gender text, birthplace text, address text, ID text, DATE date, PATIENT text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START text, STOP text, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, ID text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE real, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE text, DESCRIPTION text, VALUE real, UNITS text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, ID text, PATIENT text, BILLABLEPERIOD date, ORGANIZATION text, ENCOUNTER text, DIAGNOSIS text, TOTAL integer) | What is the medicine prescribed for the patient with social security number 999-94-3751? | SELECT T1.DESCRIPTION FROM medications AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T2.ssn = '999-94-3751' | bird |
CREATE TABLE synthea (ITEM text, POPULATION TYPE text, OCCURRENCES integer, POPULATION COUNT integer, PREVALENCE RATE real, PREVALENCE PERCENTAGE real, patient text, birthdate date, deathdate date, ssn text, drivers text, passport text, prefix text, first text, last text, suffix text, maiden text, marital text, race text, ethnicity text, gender text, birthplace text, address text, ID text, DATE date, PATIENT text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START text, STOP text, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, ID text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE real, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE text, DESCRIPTION text, VALUE real, UNITS text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, ID text, PATIENT text, BILLABLEPERIOD date, ORGANIZATION text, ENCOUNTER text, DIAGNOSIS text, TOTAL integer) | Give the social security number of the female Irish patient allergic to grass pollen. | SELECT T2.ssn FROM allergies AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T1.DESCRIPTION = 'Allergy to grass pollen' AND T2.ethnicity = 'irish' AND T2.gender = 'F' | bird |
CREATE TABLE synthea (ITEM text, POPULATION TYPE text, OCCURRENCES integer, POPULATION COUNT integer, PREVALENCE RATE real, PREVALENCE PERCENTAGE real, patient text, birthdate date, deathdate date, ssn text, drivers text, passport text, prefix text, first text, last text, suffix text, maiden text, marital text, race text, ethnicity text, gender text, birthplace text, address text, ID text, DATE date, PATIENT text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START text, STOP text, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, ID text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE real, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE text, DESCRIPTION text, VALUE real, UNITS text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, ID text, PATIENT text, BILLABLEPERIOD date, ORGANIZATION text, ENCOUNTER text, DIAGNOSIS text, TOTAL integer) | Who is the patient involved in the care plan with code 311791003? | SELECT T2.first, T2.last FROM careplans AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T1.CODE = 315043002 | bird |
CREATE TABLE synthea (ITEM text, POPULATION TYPE text, OCCURRENCES integer, POPULATION COUNT integer, PREVALENCE RATE real, PREVALENCE PERCENTAGE real, patient text, birthdate date, deathdate date, ssn text, drivers text, passport text, prefix text, first text, last text, suffix text, maiden text, marital text, race text, ethnicity text, gender text, birthplace text, address text, ID text, DATE date, PATIENT text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START text, STOP text, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, ID text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE real, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE text, DESCRIPTION text, VALUE real, UNITS text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, ID text, PATIENT text, BILLABLEPERIOD date, ORGANIZATION text, ENCOUNTER text, DIAGNOSIS text, TOTAL integer) | Among the patients that died, what is the condition of the oldest patient? | SELECT T1.DESCRIPTION FROM conditions AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T2.deathdate IS NOT NULL ORDER BY strftime('%Y', T2.deathdate) - strftime('%Y', T2.birthdate) DESC LIMIT 1 | bird |
CREATE TABLE synthea (ITEM text, POPULATION TYPE text, OCCURRENCES integer, POPULATION COUNT integer, PREVALENCE RATE real, PREVALENCE PERCENTAGE real, patient text, birthdate date, deathdate date, ssn text, drivers text, passport text, prefix text, first text, last text, suffix text, maiden text, marital text, race text, ethnicity text, gender text, birthplace text, address text, ID text, DATE date, PATIENT text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START text, STOP text, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, ID text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE real, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE text, DESCRIPTION text, VALUE real, UNITS text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, ID text, PATIENT text, BILLABLEPERIOD date, ORGANIZATION text, ENCOUNTER text, DIAGNOSIS text, TOTAL integer) | What is the code of the prevalent disease with the highest occurrences? | SELECT T2.code FROM all_prevalences AS T1 INNER JOIN conditions AS T2 ON T1.ITEM = T2.DESCRIPTION ORDER BY T1.OCCURRENCES DESC LIMIT 1 | bird |
CREATE TABLE synthea (ITEM text, POPULATION TYPE text, OCCURRENCES integer, POPULATION COUNT integer, PREVALENCE RATE real, PREVALENCE PERCENTAGE real, patient text, birthdate date, deathdate date, ssn text, drivers text, passport text, prefix text, first text, last text, suffix text, maiden text, marital text, race text, ethnicity text, gender text, birthplace text, address text, ID text, DATE date, PATIENT text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START text, STOP text, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, ID text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE real, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE text, DESCRIPTION text, VALUE real, UNITS text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, ID text, PATIENT text, BILLABLEPERIOD date, ORGANIZATION text, ENCOUNTER text, DIAGNOSIS text, TOTAL integer) | What is the glucose level of the patient that lives at 365 Della Crossroad Suite 202, Deerfield, MA 01342 US? | SELECT DISTINCT T2.DESCRIPTION, T2.VALUE, T2.UNITS FROM patients AS T1 INNER JOIN observations AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Glucose' AND T1.address = '365 Della Crossroad Suite 202 Deerfield MA 01342 US' | bird |
CREATE TABLE synthea (ITEM text, POPULATION TYPE text, OCCURRENCES integer, POPULATION COUNT integer, PREVALENCE RATE real, PREVALENCE PERCENTAGE real, patient text, birthdate date, deathdate date, ssn text, drivers text, passport text, prefix text, first text, last text, suffix text, maiden text, marital text, race text, ethnicity text, gender text, birthplace text, address text, ID text, DATE date, PATIENT text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START text, STOP text, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, ID text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE real, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE text, DESCRIPTION text, VALUE real, UNITS text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, ID text, PATIENT text, BILLABLEPERIOD date, ORGANIZATION text, ENCOUNTER text, DIAGNOSIS text, TOTAL integer) | Provide at least 5 social security numbers of patients with a prevalent disease with a prevalence percentage lower than 30% of the average prevalence percentage of conditions. | SELECT DISTINCT T2.ssn FROM conditions AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient INNER JOIN all_prevalences AS T3 ON lower(T1.DESCRIPTION) = lower(T3.ITEM) WHERE CAST(T3."PREVALENCE PERCENTAGE" AS REAL) * 100 / ( SELECT AVG('PREVALENCE PERCENTAGE') FROM all_prevalences ) < 30 LIMIT 5 | bird |
CREATE TABLE synthea (ITEM text, POPULATION TYPE text, OCCURRENCES integer, POPULATION COUNT integer, PREVALENCE RATE real, PREVALENCE PERCENTAGE real, patient text, birthdate date, deathdate date, ssn text, drivers text, passport text, prefix text, first text, last text, suffix text, maiden text, marital text, race text, ethnicity text, gender text, birthplace text, address text, ID text, DATE date, PATIENT text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START text, STOP text, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, ID text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE real, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE text, DESCRIPTION text, VALUE real, UNITS text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, ID text, PATIENT text, BILLABLEPERIOD date, ORGANIZATION text, ENCOUNTER text, DIAGNOSIS text, TOTAL integer) | Among the patients with acute bronchitis, what is the percentage of Asian women? | SELECT CAST(SUM(CASE WHEN T2.gender = 'F' AND T2.race = 'asian' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T2.gender) FROM conditions AS T1 INNER JOIN patients AS T2 ON T1.PATIENT = T2.patient WHERE T1.DESCRIPTION = 'Acute bronchitis (disorder)' | bird |
CREATE TABLE synthea (ITEM text, POPULATION TYPE text, OCCURRENCES integer, POPULATION COUNT integer, PREVALENCE RATE real, PREVALENCE PERCENTAGE real, patient text, birthdate date, deathdate date, ssn text, drivers text, passport text, prefix text, first text, last text, suffix text, maiden text, marital text, race text, ethnicity text, gender text, birthplace text, address text, ID text, DATE date, PATIENT text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START text, STOP text, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, ID text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE real, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE text, DESCRIPTION text, VALUE real, UNITS text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, ID text, PATIENT text, BILLABLEPERIOD date, ORGANIZATION text, ENCOUNTER text, DIAGNOSIS text, TOTAL integer) | Provide the number of encounters for Major D'Amore. | SELECT COUNT(T2.ID) FROM patients AS T1 INNER JOIN encounters AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Major' AND T1.last = 'D''Amore' | bird |
CREATE TABLE synthea (ITEM text, POPULATION TYPE text, OCCURRENCES integer, POPULATION COUNT integer, PREVALENCE RATE real, PREVALENCE PERCENTAGE real, patient text, birthdate date, deathdate date, ssn text, drivers text, passport text, prefix text, first text, last text, suffix text, maiden text, marital text, race text, ethnicity text, gender text, birthplace text, address text, ID text, DATE date, PATIENT text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START text, STOP text, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, ID text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE real, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE text, DESCRIPTION text, VALUE real, UNITS text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, ID text, PATIENT text, BILLABLEPERIOD date, ORGANIZATION text, ENCOUNTER text, DIAGNOSIS text, TOTAL integer) | List the procedures received by Emmy Waelchi. | SELECT T2.DESCRIPTION FROM patients AS T1 INNER JOIN procedures AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Emmy' AND T1.last = 'Waelchi' | bird |
CREATE TABLE synthea (ITEM text, POPULATION TYPE text, OCCURRENCES integer, POPULATION COUNT integer, PREVALENCE RATE real, PREVALENCE PERCENTAGE real, patient text, birthdate date, deathdate date, ssn text, drivers text, passport text, prefix text, first text, last text, suffix text, maiden text, marital text, race text, ethnicity text, gender text, birthplace text, address text, ID text, DATE date, PATIENT text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START text, STOP text, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, ID text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE real, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE text, DESCRIPTION text, VALUE real, UNITS text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, ID text, PATIENT text, BILLABLEPERIOD date, ORGANIZATION text, ENCOUNTER text, DIAGNOSIS text, TOTAL integer) | Provide the patients' full names who received the extraction of wisdom tooth. | SELECT T1.first, T1.last FROM patients AS T1 INNER JOIN procedures AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Extraction of wisdom tooth' | bird |
CREATE TABLE synthea (ITEM text, POPULATION TYPE text, OCCURRENCES integer, POPULATION COUNT integer, PREVALENCE RATE real, PREVALENCE PERCENTAGE real, patient text, birthdate date, deathdate date, ssn text, drivers text, passport text, prefix text, first text, last text, suffix text, maiden text, marital text, race text, ethnicity text, gender text, birthplace text, address text, ID text, DATE date, PATIENT text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START text, STOP text, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, ID text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE real, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE text, DESCRIPTION text, VALUE real, UNITS text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, ID text, PATIENT text, BILLABLEPERIOD date, ORGANIZATION text, ENCOUNTER text, DIAGNOSIS text, TOTAL integer) | Provide the body weight of Elly Koss in every observation. | SELECT T2.DESCRIPTION, T2.VALUE, T2.UNITS FROM patients AS T1 INNER JOIN observations AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Elly' AND T1.last = 'Koss' AND T2.DESCRIPTION = 'Body Weight' | bird |
CREATE TABLE synthea (ITEM text, POPULATION TYPE text, OCCURRENCES integer, POPULATION COUNT integer, PREVALENCE RATE real, PREVALENCE PERCENTAGE real, patient text, birthdate date, deathdate date, ssn text, drivers text, passport text, prefix text, first text, last text, suffix text, maiden text, marital text, race text, ethnicity text, gender text, birthplace text, address text, ID text, DATE date, PATIENT text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START text, STOP text, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, ID text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE real, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE text, DESCRIPTION text, VALUE real, UNITS text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, ID text, PATIENT text, BILLABLEPERIOD date, ORGANIZATION text, ENCOUNTER text, DIAGNOSIS text, TOTAL integer) | Name the patients who had an allergy to soy. | SELECT T1.first, T1.last FROM patients AS T1 INNER JOIN allergies AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Allergy to soya' | bird |
CREATE TABLE synthea (ITEM text, POPULATION TYPE text, OCCURRENCES integer, POPULATION COUNT integer, PREVALENCE RATE real, PREVALENCE PERCENTAGE real, patient text, birthdate date, deathdate date, ssn text, drivers text, passport text, prefix text, first text, last text, suffix text, maiden text, marital text, race text, ethnicity text, gender text, birthplace text, address text, ID text, DATE date, PATIENT text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START text, STOP text, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, ID text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE real, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE text, DESCRIPTION text, VALUE real, UNITS text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, ID text, PATIENT text, BILLABLEPERIOD date, ORGANIZATION text, ENCOUNTER text, DIAGNOSIS text, TOTAL integer) | How many times did Keven Kuhn receive DTaP immunization? | SELECT COUNT(T2.CODE) FROM patients AS T1 INNER JOIN immunizations AS T2 ON T1.patient = T2.PATIENT WHERE T1.first = 'Keven' AND T1.last = 'Kuhn' AND T2.DESCRIPTION = 'DTaP' | bird |
CREATE TABLE synthea (ITEM text, POPULATION TYPE text, OCCURRENCES integer, POPULATION COUNT integer, PREVALENCE RATE real, PREVALENCE PERCENTAGE real, patient text, birthdate date, deathdate date, ssn text, drivers text, passport text, prefix text, first text, last text, suffix text, maiden text, marital text, race text, ethnicity text, gender text, birthplace text, address text, ID text, DATE date, PATIENT text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START text, STOP text, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, ID text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE real, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, START date, STOP date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, DATE date, PATIENT text, ENCOUNTER text, CODE text, DESCRIPTION text, VALUE real, UNITS text, DATE date, PATIENT text, ENCOUNTER text, CODE integer, DESCRIPTION text, REASONCODE integer, REASONDESCRIPTION text, ID text, PATIENT text, BILLABLEPERIOD date, ORGANIZATION text, ENCOUNTER text, DIAGNOSIS text, TOTAL integer) | Who had to take Clopidogrel 75 MG Oral Tablet for over 10 years? | SELECT T1.first, T1.last FROM patients AS T1 INNER JOIN medications AS T2 ON T1.patient = T2.PATIENT WHERE T2.DESCRIPTION = 'Clopidogrel 75 MG Oral Tablet' AND strftime('%Y', T2.STOP) - strftime('%Y', T2.START) > 10 | bird |
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