A Brief Analysis of Key Machine Learning Methods for Predicting Medicare Payments Related to Physical Therapy Practices in the United States

A Brief Analysis of Key Machine Learning Methods for Predicting Medicare Payments Related to Physical Therapy Practices in the United States

Background and objectives: Machine learning approaches using random forest have been effectively used to provide decision support in health and medical informatics. This is especially true when predicting variables associated with Medicare reimbursements. However, more work is needed to analyze and...

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Bibliographic Details
Main Authors: Shrirang A. Kulkarni, Jodh S. Pannu, Andriy V. Koval, Gabriel J. Merrin, Varadraj P. Gurupur, Ayan Nasir, Christian King, Thomas T. H. Wan
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Information
Subjects:
random forest
Medicare costs
K-nearest neighbors
multiple linear regression
decision trees
linear generalized additive model
Online Access:https://www.mdpi.com/2078-2489/12/2/57

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https://www.mdpi.com/2078-2489/12/2/57

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