Medical information filtering using rule-based and content-based approaches

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)

6 Scopus Citations
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Author(s)

Detail(s)

Original languageEnglish
Title of host publicationAssociation for Information Systems - 11th Americas Conference on Information Systems, AMCIS 2005: A Conference on a Human Scale
Pages797-801
Volume2
StatePublished - 2005
Externally publishedYes

Publication series

Name
Volume2

Conference

Title11th Americas Conference on Information Systems, AMCIS 2005
PlaceUnited States
CityOmaha, NE
Period11 - 15 August 2005

Abstract

Healthcare professionals need to keep themselves updated with the latest medical developments by finding and reading relevant articles in order to provide the best possible care to their patients. The most popular technique for retrieving relevant articles from a digital library is keyword matching, which is known to retrieve a large amount of irrelevant articles without taking into account the knowledge requirements the user. Currently, the research community is making progress, but is still far from resolving this problem. In this paper, we propose a new method for generating rule-based stereotypical profiles to capture the knowledge requirements based on user roles, and an information filtering technique that combine content-based and rule-based filtering to deliver relevant articles to a user.

Research Area(s)

  • Medical information filtering, Rule-based profiling, Stereotypic profiling

Citation Format(s)

Medical information filtering using rule-based and content-based approaches. / Sarnikar, Surendra; Zhao, J. Leon; Gupta, Amar.

Association for Information Systems - 11th Americas Conference on Information Systems, AMCIS 2005: A Conference on a Human Scale. Vol. 2 2005. p. 797-801.

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)