HySMID: an ischemiadiagnosis system using genetic algorithms and multicriteria decision analysis
dc.contributor.author | Papaloukas, C., | en |
dc.contributor.author | Goletsis, Y., | en |
dc.contributor.author | Fotiadis, D.I., | en |
dc.contributor.author | Likas, A., | en |
dc.contributor.author | Michalis, L.K. | en |
dc.date.accessioned | 2015-11-24T17:04:29Z | |
dc.date.available | 2015-11-24T17:04:29Z | |
dc.identifier.uri | https://olympias.lib.uoi.gr/jspui/handle/123456789/11183 | |
dc.rights | Default Licence | - |
dc.title | HySMID: an ischemiadiagnosis system using genetic algorithms and multicriteria decision analysis | en |
heal.abstract | Multicriteria 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.access | campus | - |
heal.fullTextAvailability | TRUE | - |
heal.journalName | Computers in Cardiology | en |
heal.journalType | peer reviewed | - |
heal.language | en | - |
heal.publicationDate | 2003 | - |
heal.recordProvider | Πανεπιστήμιο Ιωαννίνων. Σχολή Οικονομικών και Κοινωνικών Επιστημών. Τμήμα Οικονομικών Επιστημών | el |
heal.type | journalArticle | - |
heal.type.el | Άρθρο Περιοδικού | el |
heal.type.en | Journal article | en |
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