Charles Okanda Nyatega

An Interpretable MACD–SCDM Framework for Sepsis Risk Modeling from Longitudinal Laboratory Trajectories

Early identification of sepsis from electronic health records (EHRs) remains challenging because longitudinal laboratory measurements are irregularly sampled, incomplete, and dependent on the observation period. This study presents an interpretable temporal feature-engineering fr...