V. Kunichik

EARLY PREDICTION OF IN-HOSPITAL MORTALITY USING INTERPRETABLE AND CALIBRATED ENSEMBLE MACHINE LEARNING MODELS

Early identification of patients at high risk of in-hospital mortality is a persistent challenge in clinical practice, particularly during infectious disease outbreaks such as COVID-19, when decisions must be made at the time of hospital admission using incomplete information. Although machine learning methods have bee...