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Mental Health Risk Adjustment with Clinical Categories and Machine Learning.

Akritee ShresthaSavannah BergquistEllen MontzSherri Rose
Published 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.
Keyphrases
  • machine learning
  • mental health
  • systematic review
  • artificial intelligence
  • climate change
  • human health