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S295 Using Natural Language Processing to Improve Automatic Ascertainment of Key Colonoscopy Findings
Author(s) -
Lei Wang,
Caitlin C. Murphy,
Celette Sugg Skinner,
Michael A. Skinner,
Eric Borton,
Cynthia Ortiz,
Ellen Hu,
Jacquelyn M. Lykken,
Ethan A. Halm
Publication year - 2021
Publication title -
˜the œamerican journal of gastroenterology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.907
H-Index - 252
eISSN - 1572-0241
pISSN - 0002-9270
DOI - 10.14309/01.ajg.0000773652.52042.1a
Subject(s) - medicine , colonoscopy , tubular adenoma , gold standard (test) , artificial intelligence , adenoma , bowel preparation , cecum , endoscopy , natural language processing , radiology , colorectal cancer , computer science , cancer

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