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      Automatically extracting sentences from Medline citations to support clinicians' information needs.

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          Abstract

          Online health knowledge resources contain answers to most of the information needs raised by clinicians in the course of care. However, significant barriers limit the use of these resources for decision-making, especially clinicians' lack of time. In this study we assessed the feasibility of automatically generating knowledge summaries for a particular clinical topic composed of relevant sentences extracted from Medline citations.

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          Author and article information

          Journal
          J Am Med Inform Assoc
          Journal of the American Medical Informatics Association : JAMIA
          1527-974X
          1067-5027
          : 20
          : 5
          Affiliations
          [1 ] Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA.
          Article
          amiajnl-2012-001347
          10.1136/amiajnl-2012-001347
          23100128
          3e80d499-6311-409e-a721-a77c3ca4e809
          History

          clinical decision support,information needs,knowledge summary,natural language processing

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