BOOK-CHAPTER

Evaluation of a Fuzzy Ontology-Based Medical Information System

David Parry

Year: 2008 IGI Global eBooks Pages: 1494-1505   Publisher: IGI Global

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.

Keywords:
Unified Medical Language System Ontology Computer science Information retrieval Point (geometry) Fuzzy logic Health professionals Quality (philosophy) National library Information system World Wide Web Medical information Knowledge management Health care Data science Artificial intelligence Engineering Library science

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Topics

Semantic Web and Ontologies
Physical Sciences →  Computer Science →  Artificial Intelligence
Biomedical Text Mining and Ontologies
Life Sciences →  Biochemistry, Genetics and Molecular Biology →  Molecular Biology

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