Development and Validation of an Interpretable Machine Learning Model for Predicting ICU‐Acquired Weakness in Postoperative Patients

Abstract

ICU‐acquired weakness (ICU‐AW) is a common and debilitating complication among critically ill patients, particularly those undergoing major surgery. Early identification of patients at high risk of ICU‐AW may facilitate timely preventive strategies and targeted rehabilitation interventions.