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Evaluation of a Fuzzy Ontology-Based Medical Information System

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  • David Parry

    (Auckland University of Technology, New Zealand)

Abstract

Evidence-based medicine (EBM) requires appropriate information to be available to clinicians at the point of care. Electronic sources of information may fulfill this need but require a high level of skill to use successfully. This paper describes the rationale and initial testing of a system to allow collaborative search and ontology construction for professional groups in the health sector. The approach is based around the use of a browser using a fuzzy ontology based on the National Library of Medicine (NLM) Unified Medical Language System (UMLS). This approach may provide high quality information for professionals in the future.

Suggested Citation

  • David Parry, 2006. "Evaluation of a Fuzzy Ontology-Based Medical Information System," International Journal of Healthcare Information Systems and Informatics (IJHISI), IGI Global, vol. 1(1), pages 40-51, January.
    • Handle: RePEc:igg:jhisi0:v:1:y:2006:i:1:p:40-51
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    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/jhisi.2006010103
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    Cited by:

    1. Adam Koletis & Athanasios Markopoulos & Konstantinos Kotis, 2022. "Discovering Semantic Relations between Neurodegenerative Diseases and Artistic Behaviors," Challenges, MDPI, vol. 13(2), pages 1-7, August.

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