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Author Zekri, F. ♦ Bouaziz, R. ♦ Turki, E.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2015
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Special computer methods
Subject Keyword Ontologies ♦ Alzheimer's disease ♦ Medical diagnostic imaging ♦ Semantics ♦ Medical treatment ♦ Uncertainty ♦ AlzFuzzyOnto ♦ Alzheimer Disease ♦ Fuzzy ontology ♦ Fuzzy logic ♦ Mind ontology
Abstract The fight against Alzheimer's disease (AD) has become a major issue. We aim to contribute to this fight by seeking to provide adequate software to assist decision makers in the field of AD to choose the optimal decision for each situation. Moreover, it is now recognized that fuzzy ontologies are useful tools for the representation of crisp and fuzzy knowledge and reasoning on it. Thus, we propose in this paper a fuzzy ontology called “AlzFuzzyOnto”, related to the AD concepts. This ontology enables semantic representation of medical data for diagnosis and support of AD, while taking into account the uncertainties and inaccuracies associated with this disease. To this end, we used the Mind ontology, as initial core ontology, in the building process of the ontology “AlzFuzzyOnto”, which we have standardized to facilitate the integration of rule bases.
Description Author affiliation: Fac. of Med., Univ. of Sfax, Sfax, Tunisia (Turki, E.) || MIR@CL Lab., Univ. of Sfax, Sfax, Tunisia (Zekri, F.; Bouaziz, R.)
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2015-08-02
Publisher Place Turkey
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
e-ISBN 9781467374286
Size (in Bytes) 1.69 MB
Page Count 6
Starting Page 1
Ending Page 6

Source: IEEE Xplore Digital Library