Comparison of artificial neural network and binary logistic regression for determination of impaired glucose tolerance/diabetes

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Comparison of artificial neural network and binary logistic regression for determination of impaired glucose tolerance/diabetes.

Models based on an artificial neural network (the multilayer perceptron) and binary logistic regression were compared in their ability to differentiate between disease-free subjects and those with impaired glucose tolerance or diabetes mellitus diagnosed by fasting plasma glucose. Demographic, anthropometric and clinical data were collected from 7222 participants aged 30-88 years in the Tehran ...

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ژورنال

عنوان ژورنال: Eastern Mediterranean Health Journal

سال: 2010

ISSN: 1020-3397,1687-1634

DOI: 10.26719/2010.16.6.615