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

Natural Language Processing (693) Clinical Information and Decision Making (1411) Electronic Health Records (1058) Ontologies, Classifications, and Coding (239) Machine Learning (1471)

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 (10) Tweetations (4) Metrics

Journals

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  4. Song G, Chung S, Seo J, Yang S, Jin E, Chung G, Shim S, Sa S, Hong M, Kim K, Jang E, Lee C, Bae J, Han H. Natural Language Processing for Information Extraction of Gastric Diseases and Its Application in Large-Scale Clinical Research. Journal of Clinical Medicine 2022;11(11):2967 View
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  7. Sabrie N, Khan R, Jogendran R, Scaffidi M, Bansal R, Gimpaya N, Youssef M, Forbes N, Mosko J, Berzin T, Lightfoot D, Grover S. Performance of natural language processing in identifying adenomas from colonoscopy reports: a systematic review and meta-analysis. iGIE 2023;2(3):350 View
  8. Gadi S, Muralidharan S, Glissen Brown J. Colonoscopy Quality, Innovation, and the Assessment of New Technology. Techniques and Innovations in Gastrointestinal Endoscopy 2024;26(2):177 View
  9. Singh A, Swei E, Tolosa C, Alverson M, Brenner T, Kaur A, Metri A, Shaik M, Bush N, Bujnak B, Strauss A, Khashab M, Shin E, Singh V, Akshintala V. Development of an Automated Endoscopic Retrograde Cholangiopancreatography Quality Report Card Using an Integrated Analytics Suite. Techniques and Innovations in Gastrointestinal Endoscopy 2024;26(3):230 View
  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 2024 View