Natural Language Processing Accurately Categorizes Findings From Colonoscopy and Pathology Reports
- 14 January 2013
- journal article
- research article
- Published by Elsevier BV in Clinical Gastroenterology and Hepatology
- Vol. 11 (6), 689-694
- https://doi.org/10.1016/j.cgh.2012.11.035
Abstract
No abstract availableKeywords
This publication has 26 references indexed in Scilit:
- Colorectal-Cancer Incidence and Mortality with Screening Flexible SigmoidoscopyThe New England Journal of Medicine, 2012
- Colonoscopic Polypectomy and Long-Term Prevention of Colorectal-Cancer DeathsThe New England Journal of Medicine, 2012
- Developing a natural language processing application for measuring the quality of colonoscopy proceduresJournal of the American Medical Informatics Association, 2011
- Realizing the full potential of electronic health records: the role of natural language processingJournal of the American Medical Informatics Association, 2011
- Accuracy of Medicare claims for identifying findings and procedures performed during colonoscopyGastrointestinal Endoscopy, 2011
- Natural language processing for the development of a clinical registry: a validation study in intraductal papillary mucinous neoplasmsHPB, 2010
- Mayo clinical Text Analysis and Knowledge Extraction System (cTAKES): architecture, component evaluation and applicationsJournal of the American Medical Informatics Association, 2010
- Extracting timing and status descriptors for colonoscopy testing from electronic medical recordsJournal of the American Medical Informatics Association, 2010
- Pitfalls of Using Administrative Data for ResearchDigestive Diseases and Sciences, 2010
- Screening and Surveillance for the Early Detection of Colorectal Cancer and Adenomatous Polyps, 2008: A Joint Guideline From the American Cancer Society, the US Multi-Society Task Force on Colorectal Cancer, and the American College of RadiologyGastroenterology, 2008