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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Detalles Bibliográficos
Autores principales: Yang, Chengliang, Delcher, Chris, Shenkman, Elizabeth, Ranka, Sanjay
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6245495/
https://www.ncbi.nlm.nih.gov/pubmed/30458798
http://dx.doi.org/10.1186/s12938-018-0568-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6245495/
https://www.ncbi.nlm.nih.gov/pubmed/30458798
http://dx.doi.org/10.1186/s12938-018-0568-3

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