Mental Health Risk Adjustment with Clinical Categories and Machine Learning.
Akritee ShresthaSavannah BergquistEllen MontzSherri RosePublished in: Health services research (2017)
Literature supports the potential benefit of implementing a separate MHSUD spending risk adjustment formula. Our results suggest there is an incentive to explore machine learning for MHSUD-specific risk adjustment, as well as considering CCS categories over HCCs.