Please use this identifier to cite or link to this item:
Type: Artigo de periódico
Title: Fuzzy temporal categorical information in diagnosis
Author: Wainer, J
Sandri, S
Abstract: This paper proposes a way of incorporating fuzzy temporal reasoning within diagnostic reasoning. Disorders are described as an evolving set of necessary and possible manifestations. Ill-known moments in time, e.g., when a manifestation should start or end, are modeled by fuzzy intervals, which are also used to model the elapsed time between events, e.g., the beginning of a manifestation and its end. Patient information about the intensity and times in which manifestations started and ended are also modeled using fuzzy sets. The paper discusses many measures of consistency between the patient's data and the disorder model, and defines when the manifestations of the patient can be explained by a disorder. This work also discusses related issues such as the intensity of manifestations and the speed in which the disorder is evolving, given the patient's data, and how to use that information to make predictions about future and past events.
Subject: medical diagnostics
fuzzy temporal information
fuzzy intensity information
Country: Holanda
Editor: Kluwer Academic Publ
Citation: Journal Of Intelligent Information Systems. Kluwer Academic Publ, v. 13, n. 41671, n. 9, n. 26, 1999.
Rights: fechado
Identifier DOI: 10.1023/A:1008702804774
Date Issue: 1999
Appears in Collections:Unicamp - Artigos e Outros Documentos

Files in This Item:
File Description SizeFormat 
WOS000081340000002.pdf233.39 kBAdobe PDFView/Open

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.