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Machine learning approaches for predicting high cost high need patient expenditures in health care

Abstract 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...

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Principais autores: Chengliang Yang, Chris Delcher, Elizabeth Shenkman, Sanjay Ranka
Format: Artigo
Sprog:Inglês
Udgivet: BMC 2018-11-01
Serier:BioMedical Engineering OnLine
Fag:
High-cost
High need patients
Machine learning
Predictive modeling
Online adgang:http://link.springer.com/article/10.1186/s12938-018-0568-3
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