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

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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Bibliographic Details
Main Authors: Chengliang Yang, Chris Delcher, Elizabeth Shenkman, Sanjay Ranka
Format: Article
Language:English
Published: BMC 2018-11-01
Series:BioMedical Engineering OnLine
Subjects:
High-cost
High need patients
Machine learning
Predictive modeling
Online Access:http://link.springer.com/article/10.1186/s12938-018-0568-3

Internet

http://link.springer.com/article/10.1186/s12938-018-0568-3

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