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import pandas as pd
from datetime import datetime
def init_log():
return pd.DataFrame(columns=[
"Timestamp", "Patient_ID", "Model", "Prediction", "Top_Features", "Explanation"
])
def log_explanation(df_log, patient_id, model_name, prediction, shap_summary, explanation):
timestamp = datetime.now().isoformat()
new_log = {
"Timestamp": timestamp,
"Patient_ID": patient_id,
"Model": model_name,
"Prediction": round(float(prediction), 4),
"Top_Features": shap_summary,
"Explanation": explanation
}
return pd.concat([df_log, pd.DataFrame([new_log])], ignore_index=True)
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