aivietnam-aio-phamtien/early-sepsis-prediction-from-icu-clinical-data

This is a Streamlit clinical decision-support app for hourly sepsis-risk prediction, with a separate Airflow retraining product. The user workflow runs from patient-file upload and validation through manifest-selected inference to risk timelines, escalation cues, and a generated narrative; other app branches provide a multi-patient watchlist and model monitoring. Retraining covers batch ingestion, data quality, feature preparation, model training/evaluation, and registry promotion. The index and excerpts support the named modules and some calls; unsampled training and monitoring internals are represented conservatively, with uncertain connections omitted.