A knowledge acquisition and management system for ECG diagnosis

Bourlas, P; Giakoumakis, E; Papakonstantinou, G

dc.contributor.author	Bourlas, P	en
dc.contributor.author	Giakoumakis, E	en
dc.contributor.author	Papakonstantinou, G	en
dc.date.accessioned	2014-03-01T01:47:46Z
dc.date.available	2014-03-01T01:47:46Z
dc.date.issued	1999	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/25317
dc.subject	Continuous Improvement	en
dc.subject	Electrocardiogram	en
dc.subject	Knowledge Acquisition	en
dc.subject	Knowledge Base	en
dc.subject	Machine Learning	en
dc.subject	Management System	en
dc.subject	Rule Induction	en
dc.subject	Decision Tree	en
dc.title	A knowledge acquisition and management system for ECG diagnosis	en
heal.type	journalArticle	en
heal.publicationDate	1999	en
heal.abstract	. We present a knowledge acquisition and management system for 12-lead electrocardiogram (ECG)diagnosis, which, using rule induction techniques, continuously improves its initial knowledge base(developed with the cooperation of several ECG experts), interacting with the user; advising him about theECG diagnosis and taking advantage of his response. To achieve all these, special machine learning and othertechniques are used: Learning of new	en