Development and validation of an interpretable machine learning model for predicting multidrug-resistant infections in ICU patients
Background Multidrug-resistant (MDR) infections in intensive care units (ICUs) are difficult to recognize early. This study developed and validated an interpretable machine-learning model for early MDR risk prediction in ICU patients. Methods A retrospective cohort was built from the Medical Information Mart for Intens...