Tag Archives: substance use disorder; Bayesian belief network; chemical dependency; predictive modeling

by Lawrence Weinstein, MD, ABHM; Todd Radano; Timothy Jack, MD; Philip Kalina, MS; and John S. Eberhardt III  

Abstract

Introduction: This paper explores the use of machine learning and Bayesian classification models to develop broadly applicable risk stratification models to guide disease management of health plan enrfollees with substance use disorder (SUD). While the high costs and morbidities associated with SUD are understood by payers, who manage it through utilization review, acute