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    Disease diagnosis with a hybrid method SVR using NSGA-II

    , Article Neurocomputing ; Vol. 136 , 2014 , pp. 14-29 Zangooei, M. H ; Habibi, J ; Alizadehsani, R ; Sharif University of Technology
    Abstract
    Early diagnosis of any disease at a lower cost is preferable. Automatic medical diagnosis classification tools reduce financial burden on health care systems. In medical diagnosis, patterns consist of observable symptoms and the results of diagnostic tests, which have various associated costs and risks. In this paper, we have experimented and suggested an automated pattern classification method for classifying four diseases into two classes. In the literature on machine learning or data mining, regression and classification problems are typically viewed as two distinct problems differentiated by continuous or categorical dependent variables. There are endeavors to use regression methods to...