Expert System for Medical Diagnosis. Fuzzy Logic

TROCIN, Caterina; BRAGARENCO, Andrei; SONTEA, Victor

dc.contributor.author	TROCIN, Caterina
dc.contributor.author	BRAGARENCO, Andrei
dc.contributor.author	SONTEA, Victor
dc.date.accessioned	2020-05-28T08:48:16Z
dc.date.available	2020-05-28T08:48:16Z
dc.date.issued	2011
dc.identifier.citation	TROCIN, Caterina, BRAGARENCO, Andrei, SONTEA, Victor. Expert System for Medical Diagnosis. Fuzzy Logic. In: IIS’2011. International Workshop on Intelligent Information Systems : proc. of the intern. workshop.: Sept. 13-14, 2011, Chisinau, 2011, pp. 207-210.	en_US
dc.identifier.uri	http://repository.utm.md/handle/5014/8428
dc.description.abstract	Fuzzy systems are considered a special case of expert systems that provides a flexible method for handling uncertainty and imprecise knowledge presentation. This article presents the design steps of an expert system based on fuzzy logic, which would be able to establish a medical diagnosis in electrocardiography domain.	en_US
dc.language.iso	en	en_US
dc.publisher	Institute of Mathematics and Computer Science of the Academy of Sciences of Moldova	en_US
dc.rights	Attribution-NonCommercial-NoDerivs 3.0 United States	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/us/	*
dc.subject	expert systems	en_US
dc.subject	electrocardiographic signals	en_US
dc.subject	ECG	en_US
dc.subject	databases	en_US
dc.subject	knowledge bases	en_US
dc.subject	inference engine	en_US
dc.title	Expert System for Medical Diagnosis. Fuzzy Logic	en_US
dc.type	Article	en_US