Mental Health Risk Adjustment with Clinical Categories and Machine Learning

Objective To propose nonparametric ensemble machine learning for mental health and substance use disorders (MHSUD) spending risk adjustment formulas, including considering Clinical Classification Software (CCS) categories as diagnostic covariates over the commonly used Hierarchical Condition Category (HCC) system.

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Mental Health Risk Adjustment with Clinical Categories and Machine Learning