This paper is in the following e-collection/theme issue:

Physician and Health Services Rating by Consumers (126) Consumer & Patient Education and Shared-Decision Making (638) Machine Learning (1385) Quality Improvement (224)

Published on in Vol 22, No 12 (2020): December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/22765, first published .
Comparing Precision Machine Learning With Consumer, Quality, and Volume Metrics for Ranking Orthopedic Surgery Hospitals: Retrospective Study

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

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

Authors of this article:

Dev Goyal1 Author Orcid Image ;   John Guttag2 Author Orcid Image ;   Zeeshan Syed1 Author Orcid Image ;   Rudra Mehta1 Author Orcid Image ;   Zahoor Elahi1 Author Orcid Image ;   Mohammed Saeed1, 3 Author Orcid Image
Article Authors Cited by (2) Tweetations (4) Metrics

Journals

  1. Parikh A, Oca M, Conger J, McCoy A, Chang J, Zhang-Nunes S. Accuracy and Bias in Artificial Intelligence Chatbot Recommendations for Oculoplastic Surgeons. Cureus 2024 View

Books/Policy Documents

  1. Martinho V. Machine Learning Approaches for Evaluating Statistical Information in the Agricultural Sector. View