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Medicinska fakulteta, Maribor (MFMB)
  • Diagnosing mitral valve prolapse by improving the predictive power of classifiers
    Dinevski, Dejan ; Mertik, Matej ; Kokol, Peter, 1957-
    Mitral valve prolapse (MVP) has been described as one of the most common cardiac valvular abnormalities in industrialized countries, and can result in sudden death. This study focused on various ... feature selection mechanisms that might improve the predictive power of a classifier to diagnose MVP. The experiment included selection mechanisms using classical greedy feature selection approaches (forward selection and backward elimination), a genetic algorithm (GA) approach and a cellular automaton (CA) approach. The main aim of this latest approach is to use CA with GA for the data transformation phaseof the knowledge discovery process. The CA-GA approach produced better results than the classical greedy approaches. The subsets of features producedby the GA and CA approaches were most appropriate for the decision tree classifier, for diagnosing MVP with the highest overall class accuracy. More importantly, the CA and GA approaches were also capable of generalizing some important knowledge concerning MVP diagnosis.
    Vir: Journal of international medical research. - ISSN 0300-0605 (Vol. 39, no. 3, 2011, str. 1075-1083)
    Vrsta gradiva - članek, sestavni del ; neleposlovje za odrasle
    Leto - 2011
    Jezik - angleški
    COBISS.SI-ID - 512130104

vir: Journal of international medical research. - ISSN 0300-0605 (Vol. 39, no. 3, 2011, str. 1075-1083)

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