crossrefnpj Digital Medicine2026-07-10
Simulation of covariate and concept drift in machine learning hospital admission prediction from emergency triage
Ethan Williams, Toshi Sinha, Matthew Summerscales, Yogesan Kanagasingam
Abstract Machine learning models that predict hospital admission at triage may support patient flow forecasting, yet the effects of covariate drift, concept drift, and retraining on long-term performance are poorly understood. We developed an Extreme Gradient Boosting (XGBoost) m…