Machine learning-based prediction of bloodstream infection in rectal carbapenem-resistant Enterobacterales carriers: a multicenter retrospective cohort study
Background Carbapenem-resistant Enterobacterales (CRE) carriers are at risk of developing subsequent CRE bloodstream infection (BSI). This study aimed to identify features contributing to BSI development in rectal CRE carriers and interpret their interactions using machine learning (ML) and explainable artificial intel...