Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/1755
Title: Temporal constraints in clinical diagnosis
Authors: Keravnou-Papailiou, Elpida 
Major Field of Science: Natural Sciences
Field Category: Computer and Information Sciences
Keywords: Computer science;Artificial intelligence;Information technology;Computer-aided engineering;Diagnosis;Expert systems (Computer science);Algorithms;Fuzzy systems
Issue Date: Jan-2002
Source: Journal of intelligent and fuzzy systems, 2002, vol. 12, no. 1, pp. 49-67
Volume: 12
Issue: 1
Start page: 49
End page: 67
Journal: Journal of Intelligent and Fuzzy Systems 
Abstract: Time 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 hypotheses
URI: https://hdl.handle.net/20.500.14279/1755
Rights: © IOS
Type: Article
Affiliation: University of Cyprus 
Affiliation : University of Cyprus 
Publication Type: Peer Reviewed
Appears in Collections:Άρθρα/Articles

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