Open AccessNatural Language Processing Improves Identification of Colorectal Cancer Testing in the Electronic Medical Record
Author(s) -
Joshua C. Denny,
Neesha N. Choma,
Josh F. Peterson,
Randolph A. Miller,
Lisa Bastarache,
Ming Li,
Neeraja B. Peterson
Publication year - 2011
Publication title -
medical decision making
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.393
H-Index - 103
eISSN - 1552-681X
pISSN - 0272-989X
DOI - 10.1177/0272989x11400418
Subject(s) - medicine , medical record , colonoscopy , chart , recall , fecal occult blood , sigmoidoscopy , precision and recall , colorectal cancer , artificial intelligence , natural language processing , medical physics , cancer , computer science , linguistics , statistics , philosophy , mathematics
Difficulty identifying patients in need of colorectal cancer (CRC) screening contributes to low screening rates.