Application of an artificial neural network model for diagnosing type 2 diabetes mellitus and determining the relative importance of risk factors

Application of an artificial neural network model for diagnosing type 2 diabetes mellitus and determining the relative importance of risk factors

OBJECTIVES To identify the most important demographic risk factors for a diagnosis of type 2 diabetes mellitus (T2DM) using a neural network model. METHODS This study was conducted on a sample of 234 individuals, in whom T2DM was diagnosed using hemoglobin A1c levels. A multilayer perceptron artific...

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Bibliographic Details
Main Authors: Shiva Borzouei, Ali Reza Soltanian
Format: Article
Language:English
Published: Korean Society of Epidemiology 2018-03-01
Series:Epidemiology and Health
Subjects:
Statistical model
Glycated hemoglobin A
Epidemiology
Iran
Online Access:http://www.e-epih.org/upload/pdf/epih-40-e2018007.pdf

Internet

http://www.e-epih.org/upload/pdf/epih-40-e2018007.pdf

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