Development of a Natural Language Processing System to Identify Timing and Status of Colonoscopy Testing in Electronic Medical Records

Colorectal cancer (CRC) screening rates are low despite proven benefits. We developed natural language processing (NLP) algorithms to identify temporal expressions and status indicators, such as “patient refused” or “test scheduled.” The authors incorporated the algorithms into the KnowledgeMap Conc...

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Главные авторы: Denny, Joshua C., Peterson, Josh F., Choma, Neesha N., Xu, Hua, Miller, Randolph A., Bastarache, Lisa, Peterson, Neeraja B.
Формат: Artigo
Язык:Inglês
Опубликовано: American Medical Informatics Association 2009
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Articles
Online-ссылка:https://ncbi.nlm.nih.gov/pmc/articles/PMC2815478/
https://ncbi.nlm.nih.gov/pubmed/20351837
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