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A Brief Analysis of Key Machine Learning Methods for Predic..:
Shrirang A. Kulkarni
;
Jodh S. Pannu
;
Andriy V. Koval
...
https://www.mdpi.com/2078-2489/12/2/57. , 2021
Link:
https://doi.org/10.3390/info12020057
RT Journal T1
A Brief Analysis of Key Machine Learning Methods for Predicting Medicare Payments Related to Physical Therapy Practices in the United States
UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:54a4a0699225410a874d70a3082d00a4&Exemplar=1&LAN=DE A1 Shrirang A. Kulkarni A1 Jodh S. Pannu A1 Andriy V. Koval A1 Gabriel J. Merrin A1 Varadraj P. Gurupur A1 Ayan Nasir A1 Christian King A1 Thomas T. H. Wan PB MDPI AG YR 2021 K1 random forest K1 Medicare costs K1 K-nearest neighbors K1 multiple linear regression K1 decision trees K1 linear generalized additive model K1 Information technology K1 T58.5-58.64 JF https://www.mdpi.com/2078-2489/12/2/57 LK http://dx.doi.org/https://doi.org/10.3390/info12020057 DO https://doi.org/10.3390/info12020057 SF ELIB - SuUB Bremen
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