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

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

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 per...

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Bibliographic Details
Main Authors: Maryam Kazemi, Abbas Moghimbeigi, Javad Kiani, Hossein Mahjub, Javad Faradmal
Format: Article
Language:English
Published: Korean Society of Epidemiology 2016-03-01
Series:Epidemiology and Health
Subjects:
Support vector machine
Diabetic neuropathy
Classification
Logistic models
Online Access:http://www.e-epih.org/upload/pdf/epih-38-e2016011.pdf

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