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

Formative Evaluation of Digital Health Interventions (2782) Clinical Informatics (1142) Machine Learning (1697) Tools, Programs and Algorithms (316) Safety and Error Prevention in Health (223)

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
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