Fuzzy Cognitive Map based decision support system for thyroid diagnosis management

Papageorgiou, E; Papandrianos, N; Apostolopoulos, D; Vassilakos, P

dc.contributor.author	Papageorgiou, E	en
dc.contributor.author	Papandrianos, N	en
dc.contributor.author	Apostolopoulos, D	en
dc.contributor.author	Vassilakos, P	en
dc.date.accessioned	2014-03-01T02:51:20Z
dc.date.available	2014-03-01T02:51:20Z
dc.date.issued	2008	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/35488
dc.subject	Artificial Intelligent	en
dc.subject	Fuzzy Cognitive Map	en
dc.subject	Knowledge Base	en
dc.subject	Knowledge Based System	en
dc.subject	Modeling Methodology	en
dc.subject	Support System	en
dc.subject	Expert System	en
dc.title	Fuzzy Cognitive Map based decision support system for thyroid diagnosis management	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/FUZZY.2008.4630524	en
heal.identifier.secondary	http://dx.doi.org/10.1109/FUZZY.2008.4630524	en
heal.publicationDate	2008	en
heal.abstract	Knowledge-based systems are the most common type of artificial intelligence in medicine systems in routine clinical use. They contain medical knowledge, usually about a very specifically defined task, and are able to reason with data from individual patients to come up with reasoned conclusions. Although there are many variations, the knowledge within an expert system is typically represented in the	en
heal.journalName	IEEE International Conference on Fuzzy Systems	en
dc.identifier.doi	10.1109/FUZZY.2008.4630524	en