Comparing Precision Machine Learning With Consumer, Quality, and Volume Metrics for Ranking Orthopedic Surgery Hospitals: Retrospective Study.

Journal: Journal of medical Internet research

Published Date: Dec 1, 2020

Abstract

BACKGROUND: Patients' choices of providers when undergoing elective surgeries significantly impact both perioperative outcomes and costs. There exist a variety of approaches that are available to patients for evaluating between different hospital choices.

Authors

Dev Goyal
John Guttag

Computer Science and Artificial Intelligence Lab, MIT, Cambridge, MA, USA.
Zeeshan Syed
Rudra Mehta
Zahoor Elahi
Mohammed Saeed

Division of Cardiovascular Medicine, University of Michigan, Ann Arbor, Michigan.

Keywords

Aged Female Hospitals Humans Machine Learning Male Orthopedics Precision Medicine Retrospective Studies

External Resources

View on PubMed Access via DOI PubMed (33258459)

Comparing Precision Machine Learning With Consumer, Quality, and Volume Metrics for Ranking Orthopedic Surgery Hospitals: Retrospective Study.

Abstract

Authors

Keywords

External Resources

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