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

Formative Evaluation of Digital Health Interventions (2819) Clinical Informatics (1161) Machine Learning (1735) Tools, Programs and Algorithms (322) Safety and Error Prevention in Health (226)

Published on in Vol 9 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/68436, first published .
Machine Learning Approach to Identifying Wrong-Site Surgeries Using Centers for Medicare and Medicaid Services Dataset: Development and Validation Study

Machine Learning Approach to Identifying Wrong-Site Surgeries Using Centers for Medicare and Medicaid Services Dataset: Development and Validation Study

Machine Learning Approach to Identifying Wrong-Site Surgeries Using Centers for Medicare and Medicaid Services Dataset: Development and Validation Study

Authors of this article:

Yuan-Hsin Chen1 Author Orcid Image ;   Ching-Hsuan Lin2 Author Orcid Image ;   Chiao-Hsin Fan3 Author Orcid Image ;   An Jim Long3 Author Orcid Image ;   Jeremiah Scholl3 Author Orcid Image ;   Yen-Pin Kao4 Author Orcid Image ;   Usman Iqbal5 Author Orcid Image ;   Yu-Chuan Jack Li4, 6, 7, 8 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Altmetric

Article has an altmetric score of 43
Altmetric discovers Social Media mentions. Click the ‘See more details’ link for a full report.

Dimensions

Dimensions discovers Citations. Click the ‘details’ link for a full report.

Metrics Since Publication

Download .csv
Daily | Monthly | Annually