Toshi Sinha

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…Read more