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Modeling the symptom-disease relationship by using rough set theory and formal concept analysis

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dc.contributor.author Bal, Mert
dc.contributor.author Sever, Hayri
dc.contributor.author Kalıpsız, Oya
dc.date.accessioned 2020-04-10T09:33:50Z
dc.date.available 2020-04-10T09:33:50Z
dc.date.issued 2007
dc.identifier.citation Bal, Mert; Sever, Hayri; Kalıpsız, Oya, "Modeling the symptom-disease relationship by using rough set theory and formal concept analysis", Proceedings Of World Academy Of Science, Engineering And Technology, Vol 26, Parts 1 And 2, December 2007, Vol.26, No.1-2, (2007). tr_TR
dc.identifier.issn 1307-6884
dc.identifier.uri http://hdl.handle.net/20.500.12416/3048
dc.description.abstract Medical Decision Support Systems (MDSSs) are sophisticated, intelligent systems that can provide inference due to lack of information and uncertainty. In such systems, to model the uncertainty various soft computing methods such as Bayesian networks, rough sets, artificial neural networks, fuzzy logic, inductive logic programming and genetic algorithms and hybrid methods that formed from the combination of the few mentioned methods are used. In this study, symptom-disease relationships are presented by a framework which is modeled with a formal concept analysis and theory, as diseases, objects and attributes of symptoms. After a concept lattice is formed, Bayes theorem can be used to determine the relationships between attributes and objects. A discernibility relation that forms the base of the rough sets can be applied to attribute data sets in order to reduce attributes and decrease the complexity of computation. tr_TR
dc.language.iso eng tr_TR
dc.publisher World Acad Sci tr_TR
dc.rights info:eu-repo/semantics/closedAccess tr_TR
dc.subject Formal Concept Analysis tr_TR
dc.subject Rough Set Theory tr_TR
dc.subject Granular Computing tr_TR
dc.subject Medical Decision Support System tr_TR
dc.title Modeling the symptom-disease relationship by using rough set theory and formal concept analysis tr_TR
dc.type workingPaper tr_TR
dc.relation.journal Proceedings Of World Academy Of Science, Engineering And Technology, Vol 26, Parts 1 And 2, December 2007 tr_TR
dc.contributor.authorID 11916 tr_TR
dc.identifier.volume 26 tr_TR
dc.identifier.issue 1-2 tr_TR
dc.contributor.department Çankaya Üniversitesi, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü tr_TR


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