[Predicting type two diabetes and determination of effectiveness of risk factors applying logistic regression model]

ABSTRACT

Background and Aim: Diabetes is one of the chronic diseases with no curative treatment; also, it is the most common cause of amputation, blindness and chronic renal failure and the most important risk factor of heart diseases. Logistic regression is one of the statistical analysis models for predicting that can be used to find out the relationship between dependent and predictor independent variables and control of the confounding variables. The aim of this study was to determine the rate of effective variables on diabetes and estimation of the logistic regression model for predicting