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Bat-Inspired Algorithm Based Query Expansion for Medical Web Information Retrieval.

With the increasing amount of medical data available on the Web, looking for health information has become one of the most widely searched topics on the Internet. Patients and people of several backgrounds are now using Web search engines to acquire medical information, including information about a...

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Published in:Journal of Medical Systems Vol. 41; no. 2; pp. 1 - 17
Main Authors: Khennak, Ilyes, Drias, Habiba
Format: algorithm equations & formulas research tables/charts Journal Article
Published: Springer Nature Feb2017
Online Access:View this record in EBSCOhost
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      jtl: Journal of Medical Systems
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      dt: Feb2017
      vid: 41
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      pub: Springer Nature
      place: New York, New York
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        10.1007/s10916-016-0668-1
        120895341
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        atl: Bat-Inspired Algorithm Based Query Expansion for Medical Web Information Retrieval.
      aug:
        au:
          Khennak, Ilyes
          Drias, Habiba
        affil: Laboratory for Research in Artificial Intelligence , Computer Science Department, USTHB , BP 32 El Alia 16111 Algiers Algeria
      sug:
        subj:
          Information Retrieval Methods
          Medline Utilization
          Algorithms Utilization
          Health Information
          Human
          Algeria
          Programming Languages
          World Wide Web
          Computerized Literature Searching Methods
          Computerized Literature Searching, End User
          Comparative Studies
          Descriptive Statistics
      ab: With the increasing amount of medical data available on the Web, looking for health information has become one of the most widely searched topics on the Internet. Patients and people of several backgrounds are now using Web search engines to acquire medical information, including information about a specific disease, medical treatment or professional advice. Nonetheless, due to a lack of medical knowledge, many laypeople have difficulties in forming appropriate queries to articulate their inquiries, which deem their search queries to be imprecise due the use of unclear keywords. The use of these ambiguous and vague queries to describe the patients' needs has resulted in a failure of Web search engines to retrieve accurate and relevant information. One of the most natural and promising method to overcome this drawback is Query Expansion. In this paper, an original approach based on Bat Algorithm is proposed to improve the retrieval effectiveness of query expansion in medical field. In contrast to the existing literature, the proposed approach uses Bat Algorithm to find the best expanded query among a set of expanded query candidates, while maintaining low computational complexity. Moreover, this new approach allows the determination of the length of the expanded query empirically. Numerical results on MEDLINE, the on-line medical information database, show that the proposed approach is more effective and efficient compared to the baseline.
      pubtype: Academic Journal
      doctype:
        algorithm
        equations & formulas
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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