A Machine Learning Framework for Plan Payment Risk Adjustment.

Journal: Health services research

Published Date: Dec 1, 2016

Abstract

OBJECTIVE: To introduce cross-validation and a nonparametric machine learning framework for plan payment risk adjustment and then assess whether they have the potential to improve risk adjustment.

Authors

Sherri Rose

Department of Health Care Policy, Harvard Medical School, Boston, Massachusetts.

Keywords

Adult Algorithms Databases, Factual Humans Machine Learning Middle Aged Models, Statistical Risk Adjustment Risk Assessment

External Resources

View on PubMed Access via DOI PubMed (26891974)

A Machine Learning Framework for Plan Payment Risk Adjustment.

Abstract

Authors

Keywords

External Resources

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