Jian-Hui Zhou

Predicting in-hospital mortality after cardiac surgery using machine learning: temporal validation in the MIMIC-IV database

Background Machine learning (ML) models have been increasingly applied to surgical risk prediction; however, their comparative performance and temporal generalizability remain inadequately evaluated. Methods A retrospective cohort study of 9,956 adult patients undergoing coronary artery bypass grafting and/or valve sur...