Please use this identifier to cite or link to this item: https://olympias.lib.uoi.gr/jspui/handle/123456789/11183
Full metadata record
DC FieldValueLanguage
dc.contributor.authorPapaloukas, C.,en
dc.contributor.authorGoletsis, Y.,en
dc.contributor.authorFotiadis, D.I.,en
dc.contributor.authorLikas, A.,en
dc.contributor.authorMichalis, L.K.en
dc.date.accessioned2015-11-24T17:04:29Z-
dc.date.available2015-11-24T17:04:29Z-
dc.identifier.urihttps://olympias.lib.uoi.gr/jspui/handle/123456789/11183-
dc.rightsDefault Licence-
dc.titleHySMID: an ischemiadiagnosis system using genetic algorithms and multicriteria decision analysisen
heal.typejournalArticle-
heal.type.enJournal articleen
heal.type.elΆρθρο Περιοδικούel
heal.languageen-
heal.accesscampus-
heal.recordProviderΠανεπιστήμιο Ιωαννίνων. Σχολή Οικονομικών και Κοινωνικών Επιστημών. Τμήμα Οικονομικών Επιστημώνel
heal.publicationDate2003-
heal.abstractMulticriteria decision analysis is employed in a fourstage (preprocessing, beat classifcation, window characterization and episode definition) ischemia diagnosis system, named HySMID. Beat classijicatian is realized using a multicriteria approach where each beat is compared to already classified category prototypes and the similarity is computed in a fuzzy way. The comparison is based upon five criteria that include ST segment changes, T wave alterations and patient's age. The dificulty in applying these criteria is the determination of the required parameter values (thresholds and weights). To overcome it, a genetic algorithm is used, which after proper training, automatically calculates the optimum values of the above parameters. HySMID was validated using the European Society of Cardiology ST-T database and performed better than previously reponed methods.en
heal.journalNameComputers in Cardiologyen
heal.journalTypepeer reviewed-
heal.fullTextAvailabilityTRUE-
Appears in Collections:Άρθρα σε επιστημονικά περιοδικά ( Ανοικτά) - ΟΕ

Files in This Item:
File Description SizeFormat 
goletsis-2003-HySMID an ischemia.pdf287.43 kBAdobe PDFView/Open    Request a copy


This item is licensed under a Creative Commons License Creative Commons