An Ontological Case Base Engineering Methodology for Diabetes Management

Ontology engineering covers issues related to ontology development and use. In Case Based Reasoning (CBR) system, ontology plays two main roles; the first as case base and the second as domain ontology. However, the ontology engineering literature does not provide adequate guidance on how to build,...

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Vydané v:Journal of medical systems Ročník 38; číslo 8; s. 67 - 14
Hlavní autori: El-Sappagh, Shaker H., El-Masri, Samir, Elmogy, Mohammed, Riad, A. M., Saddik, Basema
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Boston Springer US 01.08.2014
Springer Nature B.V
Predmet:
Artificial Intelligence
Construction
Decision support systems
Diabetes
Diabetes Mellitus - diagnosis
Diabetes Mellitus - therapy
Diagnosis
Diagnosis, Computer-Assisted - methods
Disease management
Health Informatics
Health Sciences
Humans
Knowledge Bases
Management
Medical
Medicine
Medicine & Public Health
Methodology
Ontology
Representations
Semantics
Statistics for Life Sciences
Systems-Level Quality Improvement
Vocabulary, Controlled
Knowledge management and clinical decision support system
Case representation
Case based reasoning
Ontology engineering
ISSN:0148-5598, 1573-689X, 1573-689X
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Popis
Shrnutí:Ontology engineering covers issues related to ontology development and use. In Case Based Reasoning (CBR) system, ontology plays two main roles; the first as case base and the second as domain ontology. However, the ontology engineering literature does not provide adequate guidance on how to build, evaluate, and maintain ontologies. This paper proposes an ontology engineering methodology to generate case bases in the medical domain. It mainly focuses on the research of case representation in the form of ontology to support the case semantic retrieval and enhance all knowledge intensive CBR processes. A case study on diabetes diagnosis case base will be provided to evaluate the proposed methodology.
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ISSN:0148-5598
1573-689X
1573-689X
DOI:10.1007/s10916-014-0067-4