Prediction Model for Delirium in Patients with Sepsis-Associated Liver Injury: An Interpretable Machine Learning Approach
Journal of Intensive Care Medicine
Published online on May 16, 2026
Abstract
Journal of Intensive Care Medicine, Ahead of Print.
BackgroundPatients with sepsis-associated liver injury (SALI) are at marked risk of delirium, a severe complication strongly linked with poor neurological outcomes. Early identification remains challenging, as existing predictive tools lack specificity ...
BackgroundPatients with sepsis-associated liver injury (SALI) are at marked risk of delirium, a severe complication strongly linked with poor neurological outcomes. Early identification remains challenging, as existing predictive tools lack specificity ...