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Machine learning approaches for predicting high cost high need patient expenditures in health care
BACKGROUND: This paper studies the temporal consistency of health care expenditures in a large state Medicaid program. Predictive machine learning models were used to forecast the expenditures, especially for the high-cost, high-need (HCHN) patients. RESULTS: We systematically tests temporal correla...
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| Publicado no: | Biomed Eng Online |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6245495/ https://ncbi.nlm.nih.gov/pubmed/30458798 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12938-018-0568-3 |
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