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

Clinical Informatics (1458) Natural Language Processing (971) Safety and Error Prevention in Health (264) Secondary Use of Clinical Data for Research and Surveillance (500) Machine Learning (2261)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/50935, first published .
Evaluation of a Natural Language Processing Approach to Identify Diagnostic Errors and Analysis of Safety Learning System Case Review Data: Retrospective Cohort Study

Evaluation of a Natural Language Processing Approach to Identify Diagnostic Errors and Analysis of Safety Learning System Case Review Data: Retrospective Cohort Study

Evaluation of a Natural Language Processing Approach to Identify Diagnostic Errors and Analysis of Safety Learning System Case Review Data: Retrospective Cohort Study

Authors of this article:

Azade Tabaie1, 2 Author Orcid Image ;   Alberta Tran3 Author Orcid Image ;   Tony Calabria3 Author Orcid Image ;   Sonita S Bennett1 Author Orcid Image ;   Arianna Milicia4 Author Orcid Image ;   William Weintraub5, 6 Author Orcid Image ;   William James Gallagher6, 7 Author Orcid Image ;   John Yosaitis6, 8 Author Orcid Image ;   Laura C Schubel4 Author Orcid Image ;   Mary A Hill9, 10 Author Orcid Image ;   Kelly Michelle Smith9, 10 Author Orcid Image ;   Kristen Miller4, 6 Author Orcid Image
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  6. Tabaie A, Tran A, Parau C, Bennett S, Kazi S, Smith K, Yosaitis J, Miller K, Torrini F. Applying machine learning and natural language processing to patient safety event reports: Identifying patterns of cardiovascular diagnostic errors. PLOS One 2026;21(4):e0345693 View

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