Development and Validation of an Interpretable Machine Learning-Based Prediction Model of Sepsis: A Retrospective Multicenter Cohort Study.
AIMS/BACKGROUND Sepsis is a leading cause of morbidity and mortality in intensive care units (ICUs). Early identification of patients at high risk of death is essential to guide timely interventions and optimize resource allocation. This study aimed to develop and validate an interpretable machine learning model for pr...