Retrieving Medical Literature for Clinical Decision Support

  • Luca Soldaini
  • Arman Cohan
  • Andrew Yates
  • Nazli Goharian
  • Ophir Frieder
Conference paper

DOI: 10.1007/978-3-319-16354-3_59

Part of the Lecture Notes in Computer Science book series (LNCS, volume 9022)
Cite this paper as:
Soldaini L., Cohan A., Yates A., Goharian N., Frieder O. (2015) Retrieving Medical Literature for Clinical Decision Support. In: Hanbury A., Kazai G., Rauber A., Fuhr N. (eds) Advances in Information Retrieval. ECIR 2015. Lecture Notes in Computer Science, vol 9022. Springer, Cham

Abstract

Keeping current given the vast volume of medical literature published yearly poses a serious challenge for medical professionals. Thus, interest in systems that aid physicians in making clinical decisions is intensifying. A task of Clinical Decision Support (CDS) systems is retrieving highly relevant medical literature that could help healthcare professionals in formulating diagnoses or determining treatments. This search task is atypical as the queries are medical case reports, which differs in terms of size and structure from queries in other, more common search tasks. We apply query reformulation techniques to address literature search based on case reports. The proposed system achieves a statistically significant improvement over the baseline (29% – 32%) and the state-of-the-art (12% – 59%).

Keywords

medical literature search medical query reformulation query expansion query reduction 

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Luca Soldaini
    • 1
  • Arman Cohan
    • 1
  • Andrew Yates
    • 1
  • Nazli Goharian
    • 1
  • Ophir Frieder
    • 1
  1. 1.Information Retrieval LabGeorgetown UniversityUSA

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