Now showing items 1-2 of 2

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

      Kazemnejad, A.; Batvandi, Z.; Faradmal, J. (‎2010)‎
      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 Lipid and Glucose Study. The kappa statistics were 0.229 and 0.218 and the area under the ROC curves were 0.760 and 0.770 for the logistic regression and ...
    • Distribution and correlates of total impaired fasting glucose in Oman 

      Al Riyami, A.A.; Afifi, M. (‎2003)‎
      To determine the distribution and correlates of total impaired fasting glucose in Oman, we conducted a cross-sectional survey of 1968 households with 7011 eligible residents in 2000. During face-to-face interviews, demographic data, blood pressure, fasting blood glucose, serum cholesterol, weight, height and waist and hip measurements were obtained. Of 5788 subjects tested for total impaired fasting glucose [‎response rate: 83%]‎, crude prevalence was 17.3% and age-adjusted prevalence was 20.3%. Associated factors in bivariate analysis were older ...