Machine learning–based prediction of incident delirium after a 24-hour landmark in critically ill patients with acute pancreatitis: Model development and external validation using the MIMIC-IV and eICU databases
Objective To develop, internally validate, and preliminarily externally validate a model predicting incident delirium after the first 24 hours of intensive care in patients with acute pancreatitis (AP). Methods This retrospective prediction study used MIMIC-IV 3.1 for development and eICU-CRD 2.0 for external validatio...