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

Natural Language Processing (812) Clinical Information and Decision Making (1695) Electronic Health Records (1203) Ontologies, Classifications, and Coding (276) Machine Learning (1780)

Published on in Vol 10, No 4 (2022): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/35257, first published .
Natural Language Processing for Assessing Quality Indicators in Free-Text Colonoscopy and Pathology Reports: Development and Usability Study

Natural Language Processing for Assessing Quality Indicators in Free-Text Colonoscopy and Pathology Reports: Development and Usability Study

Natural Language Processing for Assessing Quality Indicators in Free-Text Colonoscopy and Pathology Reports: Development and Usability Study

Authors of this article:

Jung Ho Bae1, 2, 3 Author Orcid Image ;   Hyun Wook Han1, 2 Author Orcid Image ;   Sun Young Yang3 Author Orcid Image ;   Gyuseon Song1, 2 Author Orcid Image ;   Soonok Sa1, 2 Author Orcid Image ;   Goh Eun Chung3 Author Orcid Image ;   Ji Yeon Seo3 Author Orcid Image ;   Eun Hyo Jin3 Author Orcid Image ;   Heecheon Kim4 Author Orcid Image ;   DongUk An4 Author Orcid Image
Article Authors Cited by (18) Tweetations (4) Metrics

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  10. Lindsay S, Madison C, Ramsey D, Doung Y, Gundle K. De Novo Natural Language Processing Algorithm Accurately Identifies Myxofibrosarcoma From Pathology Reports. Clinical Orthopaedics & Related Research 2025;483(1):80 View
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