Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/1755
DC FieldValueLanguage
dc.contributor.authorKeravnou-Papailiou, Elpida-
dc.date.accessioned2013-02-14T11:49:52Zen
dc.date.accessioned2013-05-17T05:22:09Z-
dc.date.accessioned2015-12-02T09:54:34Z-
dc.date.available2013-02-14T11:49:52Zen
dc.date.available2013-05-17T05:22:09Z-
dc.date.available2015-12-02T09:54:34Z-
dc.date.issued2002-01-
dc.identifier.citationJournal of intelligent and fuzzy systems, 2002, vol. 12, no. 1, pp. 49-67en_US
dc.identifier.urihttps://hdl.handle.net/20.500.14279/1755-
dc.description.abstractTime representation and temporal reasoning are of crucial importance to clinical diagnosis. In this paper we present a general model for diagnostic knowledge, the Causal-Temporal-Action (C-T-A) model. This has a central tri-planar structure for the representation, in causal terms, of knowledge on disorders and physiological processes. The central structure is bounded by two other, orthogonal planes that represent temporal constraints and therapeutic actions. These planes function to constrain the existences of the temporal entities residing on the central structure. A major focus of the paper is the temporal constraints plane of the C-T-A model. An abstract structure, the Abstract Temporal Graph (ATG) is proposed for the representation of temporal constraints. Specific cases of the ATG structure encountered in the literature on temporal clinical diagnosis are discussed and algorithms for checking the consistency and satisfiability of temporal constraints are presented. These algorithms are of relevance to the validation of diagnostic knowledge and patient data and the evaluation of diagnostic hypothesesen_US
dc.formatpdfen_US
dc.language.isoenen_US
dc.relation.ispartofJournal of Intelligent and Fuzzy Systemsen_US
dc.rights© IOSen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/*
dc.subjectComputer scienceen_US
dc.subjectArtificial intelligenceen_US
dc.subjectInformation technologyen_US
dc.subjectComputer-aided engineeringen_US
dc.subjectDiagnosisen_US
dc.subjectExpert systems (Computer science)en_US
dc.subjectAlgorithmsen_US
dc.subjectFuzzy systemsen_US
dc.titleTemporal constraints in clinical diagnosisen_US
dc.typeArticleen_US
dc.affiliationUniversity of Cyprusen
dc.collaborationUniversity of Cyprusen_US
dc.subject.categoryComputer and Information Sciencesen_US
dc.journalsHybrid Open Accessen_US
dc.countryCyprusen_US
dc.subject.fieldNatural Sciencesen_US
dc.publicationPeer Revieweden_US
dc.dept.handle123456789/54en
dc.relation.issue1en_US
dc.relation.volume12en_US
cut.common.academicyear2002-2003en_US
dc.identifier.spage49en_US
dc.identifier.epage67en_US
item.grantfulltextnone-
item.openairecristypehttp://purl.org/coar/resource_type/c_6501-
item.fulltextNo Fulltext-
item.languageiso639-1en-
item.cerifentitytypePublications-
item.openairetypearticle-
crisitem.journal.journalissn1875-8967-
crisitem.journal.publisherIOS Press-
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