Machine Learning for Health Services Researchers.

Journal: Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research

PMID: 31277828

Abstract

BACKGROUND: Machine learning is increasingly used to predict healthcare outcomes, including cost, utilization, and quality.

Authors

Patrick Doupe

Zalando SE, Berlin, Germany. Electronic address: patrick.doupe@zalando.de.
James Faghmous

Center for Population Health Sciences and Center for Primary Care and Outcomes Research, Departments of Medicine and of Health Research and Policy, Stanford University, Stanford, CA, USA.
Sanjay Basu

Center for Primary Care and Outcomes Research, Center for Population Health Sciences, Departments of Medicine and Health Research and Policy, Stanford University, Palo Alto, CA basus@stanford.edu.

Keywords

Administrative Claims, Healthcare Clinical Decision-Making Cost-Benefit Analysis Data Mining Health Care Costs Health Services Research Humans Machine Learning Models, Economic Models, Statistical Quality Indicators, Health Care

External Resources

View on PubMed Access via DOI PubMed (31277828)

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