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

Natural Language Processing (975) Secondary Use of Clinical Data for Research and Surveillance (498) Machine Learning (2267) New Technologies (120) Research Infrastructures and Registries (82)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/66973, first published .
Performance of Natural Language Processing versus International Classification of Diseases Codes in Building Registries for Patients With Fall Injury: Retrospective Analysis

Performance of Natural Language Processing versus International Classification of Diseases Codes in Building Registries for Patients With Fall Injury: Retrospective Analysis

Performance of Natural Language Processing versus International Classification of Diseases Codes in Building Registries for Patients With Fall Injury: Retrospective Analysis

Authors of this article:

Atta Taseh1 Author Orcid Image ;   Souri Sasanfar1 Author Orcid Image ;   Michelle Chan1 Author Orcid Image ;   Evan Sirls1 Author Orcid Image ;   Ara Nazarian2 Author Orcid Image ;   Kayhan Batmanghelich3 Author Orcid Image ;   Jonathan F Bean4, 5, 6 Author Orcid Image ;   Soheil Ashkani-Esfahani1 Author Orcid Image
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Journals

  1. Tennakoon L, Roll N, Knowlton L, Spain D, Hawn M. Natural Language Processing for Surgical Quality Enhancement. Journal of Surgical Research 2026;322:361 View