Automated Identification of Surveillance Colonoscopy in Inflammatory Bowel Disease Using Natural Language Processing

BACKGROUND: Differentiating surveillance from non-surveillance colonoscopy for colorectal cancer in patients with inflammatory bowel disease (IBD) using electronic medical records (EMR) is important for practice improvement and research purposes, but diagnosis code algorithms are lacking. The automa...

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Detalhes bibliográficos
Main Authors: Hou, Jason K., Chang, Mimi, Nguyen, Thien, Kramer, Jennifer R., Richardson, Peter, Sansgiry, Shubhada, D’Avolio, Leonard W., El-Serag, Hashem B.
Formato: Artigo
Idioma:Inglês
Publicado em: 2012
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Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC3974588/
https://ncbi.nlm.nih.gov/pubmed/23086115
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s10620-012-2433-8
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