DocumentCode :
1750692
Title :
Modelling temporal distribution of symptoms and diseases with fuzzy logic
Author :
Kiseliova, Tatiana ; Moraga, Claudio
Author_Institution :
Dept. of Comput. Sci. I, Dortmund Univ., Germany
Volume :
3
fYear :
2001
fDate :
25-28 July 2001
Firstpage :
1637
Abstract :
Although there is no doubting the importance of a time factor in medical diagnosis, a formalisation of time-varying situations (in particular, using fuzzy set theory and fuzzy logic methods) for computer-assisted diagnosis systems presents a lot of open problems for investigators. While each time-varying situation can be conditionally separated into non-temporal and temporal components, both expressed with fuzzy sets, e.g. "high temperature early in the morning", the question is how to formalise these kinds of situations and to use them in the inferencing mechanisms of medical expert systems
Keywords :
biocybernetics; diseases; fuzzy logic; fuzzy set theory; inference mechanisms; medical diagnostic computing; medical expert systems; temporal logic; temporal reasoning; time-varying systems; uncertainty handling; computer-assisted diagnosis systems; diseases; fuzzy logic; fuzzy logic methods; fuzzy set theory; inferencing mechanisms; medical diagnosis; medical expert systems; nontemporal components; symptoms; temporal components; temporal distribution modelling; time factor; time-varying situations; Computer aided diagnosis; Diseases; Fuzzy logic; Fuzzy set theory; Fuzzy sets; Medical diagnosis; Medical expert systems; Temperature; Time factors; Time varying systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
IFSA World Congress and 20th NAFIPS International Conference, 2001. Joint 9th
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-7078-3
Type :
conf
DOI :
10.1109/NAFIPS.2001.943796
Filename :
943796
Link To Document :
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