Comparison of statistical and machine learning models for healthcare cost data: a simulation study motivated by Oncology Care Model (OCM) data

Comparison of statistical and machine learning models for healthcare cost data: a simulation study motivated by Oncology Care Model (OCM) data

Abstract Background The Oncology Care Model (OCM) was developed as a payment model to encourage participating practices to provide better-quality care for cancer patients at a lower cost. The risk-adjustment model used in OCM is a Gamma generalized linear model (Gamma GLM) with log-link. The predict...

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Bibliographic Details
Main Authors: Madhu Mazumdar, Jung-Yi Joyce Lin, Wei Zhang, Lihua Li, Mark Liu, Kavita Dharmarajan, Mark Sanderson, Luis Isola, Liangyuan Hu
Format: Article
Language:English
Published: BMC 2020-04-01
Series:BMC Health Services Research
Subjects:
Oncology care model
Risk-adjustment model
Machine learning
Quantile regression
Generalized linear model
Online Access:http://link.springer.com/article/10.1186/s12913-020-05148-y

Internet

http://link.springer.com/article/10.1186/s12913-020-05148-y

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