Prevalence Shift and ICU Mortality Miscalibration Across Institutions
Machine learning models for predicting in-hospital mortality in intensive care units (ICUs) are increasingly deployed across hospital systems with heterogeneous patient populations and outcome rates. Despite growing awareness of dataset shift, the calibration consequences of hospital-level prevalence variation remain u...