Feng-Li Zhan

Development and multicenter validation of a machine learning model for predicting in-hospital postoperative cardiac arrest in elderly surgical patients: the critical role of intraoperative hemodynamic disturbances and blood transfusion

Background In-hospital cardiac arrest (IHCA) is a rare but life-threatening complication in elderly surgical patients. This study aimed to develop and validate a machine learning model for predicting IHCA and to identify key perioperative risk factors. Methods A multicenter retrospective cohort study was conducted amon...