Medical information retrieval

H. Chen, B. R. Schatz, S. M. Hubbard, T. E. Doszkocs, A. L. Houston, R. R. Sewell, K. M. Tolle, T. D. Ng

Research output: Contribution to conferencePaper

Abstract

Medical information retrieval as a specialized case of information retrieval is subject to many classic information retrieval problems (i.e., information overload, synonymy and polysomy). This research investigated the application of techniques successfully used in previous information retrieval research to the challenges of medical information retrieval. We used two biomedical document collection testbeds, CANCERLIT and TOXLINE. After evaluating three existing tools of the National Library of Medicine, we decided to write our own Noun Phrase parser which will be included in future IR research with the TOXLINE and CANCERLIT databases.

Original languageEnglish (US)
Number of pages1
StatePublished - Jan 1 1997
Externally publishedYes
EventProceedings of the 1997 2nd ACM International Conference on Digital Libraries - Philadelphia, PA, USA
Duration: Jul 23 1997Jul 26 1997

Other

OtherProceedings of the 1997 2nd ACM International Conference on Digital Libraries
CityPhiladelphia, PA, USA
Period7/23/977/26/97

ASJC Scopus subject areas

  • Software
  • Information Systems
  • Computer Science Applications
  • Library and Information Sciences

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  • Cite this

    Chen, H., Schatz, B. R., Hubbard, S. M., Doszkocs, T. E., Houston, A. L., Sewell, R. R., Tolle, K. M., & Ng, T. D. (1997). Medical information retrieval. Paper presented at Proceedings of the 1997 2nd ACM International Conference on Digital Libraries, Philadelphia, PA, USA, .