HEAL DSpace

A knowledge acquisition and management system for ECG diagnosis

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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


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