Bridging physiological intuition, clinical rigor, and machine intelligence for reproducible critical care research.
An open-source deep learning & gradient boosting framework designed to detect early signals of septic shock and vascular collapse using continuous ICU vitals.
Strict compliance with PhysioNet Data Use Agreements (DUA). All clinical data preprocessing and model inference execute strictly within isolated local environments with zero external data exposure.