Predicting hospital readmission in patients with mental or substance use disorders: A machine learning approach

Abstract

The XGBoost model has a better performance than GLMNet and previously published models in predicting readmissions in mental health patients. Our model may be further tested to aid targeted demographic initiatives to reduce M/SUDs readmissions and benchmarking.