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On clinical decision support

Published:20 September 2014Publication History

ABSTRACT

Recent interest in search tools for Clinical Decision Support (CDS) has dramatically increased. These tools help clinicians assess a medical situation by providing actionable information in the form of a select few highly relevant recent medical papers. Unlike traditional search, which is designed to deal with short queries, queries in CDS are long and narrative. We investigate the utility of applying pseudo-relevance feedback (PRF), a query expansion method that performs well in keyword-based medical literature search to CDS search. Using the optimum combination of PRF parameters we obtained statistically significant retrieval efficiency improvement in terms of nDCG, over the baseline.

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    • Published in

      cover image ACM Conferences
      BCB '14: Proceedings of the 5th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics
      September 2014
      851 pages
      ISBN:9781450328944
      DOI:10.1145/2649387
      • General Chairs:
      • Pierre Baldi,
      • Wei Wang

      Copyright © 2014 Owner/Author

      Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 20 September 2014

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      Overall Acceptance Rate254of885submissions,29%

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