Multiparametric decision support system for the prediction of oral cancer reoccurence

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dc.contributor.authorExarchos, K.P.,en
dc.contributor.authorGoletsis, Y.,en
dc.contributor.authorFotiadis, D.I.en
dc.date.accessioned2015-11-24T17:05:50Z
dc.date.available2015-11-24T17:05:50Z
dc.identifier.urihttps://olympias.lib.uoi.gr/jspui/handle/123456789/11389
dc.rightsDefault Licence-
dc.subjectOral cancer, classification, decision support system, gene expression, reoccurrence predictionen
dc.titleMultiparametric decision support system for the prediction of oral cancer reoccurenceen
heal.abstractOral squamous cell carcinoma (OSCC) constitutes the predominant neoplasm of the head and neck region, featuring particularly aggressive nature, associated with quite unfavorable prognosis. In this work formulate a Decision Support System (DSS) which integrates a multitude of heterogeneous data (clinical, imaging and genomic), thus, framing all manifestations of the disease. Our primary aim is to identify the factors that dictate OSCC progression and subsequently predict potential relapses (local or metastatic) of the disease. The discrimination potential of each source of data is initially explored separately, and afterwards the individual predictions are combined to yield a consensus decision achieving complete discrimination between patients with and without a disease relapse.en
heal.accesscampus-
heal.fullTextAvailabilityTRUE-
heal.journalTypepeer reviewed-
heal.languageen-
heal.publicationDate2011-
heal.recordProviderΠανεπιστήμιο Ιωαννίνων. Σχολή Οικονομικών και Κοινωνικών Επιστημών. Τμήμα Οικονομικών Επιστημώνel
heal.typejournalArticle-
heal.type.elΆρθρο Περιοδικούel
heal.type.enJournal articleen

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