Evaluating medical information retrieval

  • Authors:

  • Bevan Koopman;Peter Bruza;Laurianne Sitbon;Michael Lawley

  • Affiliations:

  • CSIRO, Brisbane, Australia;Queensland University of Technology, Brisbane, Australia;Queensland University of Technology, Brisbane, Australia;CSIRO, Brisbane, Australia

  • Venue:
  • Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
  • Year:
  • 2011

Quantified Score

Hi-index 0.00

Visualization

Abstract

This paper presents a framework for evaluating information retrieval of medical records. We use the BLULab corpus, a large collection of real-world de-identified medical records. The collection has been hand coded by clinical terminologists using the ICD-9 medical classification system. The ICD codes are used to devise queries and relevance judgements for this collection. Results of initial test runs using a baseline IR system show that there is room for improvement in medical information retrieval. Queries and relevance judgements are made available at http://aehrc.com/med_eval