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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 Catego...
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| Foilsithe in: | Health Serv Res |
|---|---|
| Main Authors: | , , , |
| Formáid: | Artigo |
| Teanga: | Inglês |
| Foilsithe: |
John Wiley and Sons Inc.
2017
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| Ábhair: | |
| Rochtain Ar Líne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6056578/ https://ncbi.nlm.nih.gov/pubmed/29244202 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/1475-6773.12818 |
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