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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Hlavní autoři: D'Avolio, Leonard W, Nguyen, Thien M, Goryachev, Sergey, Fiore, Louis D
Médium: Artigo
Jazyk:Inglês
Vydáno: BMJ Group 2011
Témata:
Research and Applications
On-line přístup: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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