Diabetic peripheral neuropathy class prediction by multicategory support vector machine model: a cross-sectional study.

Journal: Epidemiology and health
Published Date: Jan 1, 2016

Abstract

OBJECTIVES: Diabetes is increasing in worldwide prevalence, toward epidemic levels. Diabetic neuropathy, one of the most common complications of diabetes mellitus, is a serious condition that can lead to amputation. This study used a multicategory support vector machine (MSVM) to predict diabetic peripheral neuropathy severity classified into four categories using patients' demographic characteristics and clinical features.

Authors

  • Maryam Kazemi
    Department of Biostatistics, School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran.
  • Abbas Moghimbeigi
    Department of Biostatistics, School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran.
  • Javad Kiani
    Department of Endocrinology, College of Medical Sciences, Hamedan University of Medical Sciences, Hamedan, Iran.
  • Hossein Mahjub
    Research Center for Health Sciences and Department of Biostatistics, School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran.
  • Javad Faradmal
    Department of Biostatistics, School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran.

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