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Automatically Extracting Information Needs from Complex Clinical Questions
OBJECTIVE: Clinicians pose complex clinical questions when seeing patients, and identifying the answers to those questions in a timely manner helps improve the quality of patient care. We report here on two natural language processing models, namely, automatic topic assignment and keyword identifica...
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| Autors principals: | , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
2010
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2991382/ https://ncbi.nlm.nih.gov/pubmed/20670693 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.jbi.2010.07.007 |
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