Automated concept-level information extraction to reduce the need for custom software and rules development

OBJECTIVE: Despite at least 40 years of promising empirical performance, very few clinical natural language processing (NLP) or information extraction systems currently contribute to medical science or care. The authors address this gap by reducing the need for custom software and rules development...

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Detalhes bibliográficos
Main Authors: D'Avolio, Leonard W, Nguyen, Thien M, Goryachev, Sergey, Fiore, Louis D
Formato: Artigo
Idioma:Inglês
Publicado em: BMJ Group 2011
Assuntos:
Research and Applications
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC3168318/
https://ncbi.nlm.nih.gov/pubmed/21697292
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1136/amiajnl-2011-000183
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