Employing Logistic regression approach to determine impact of some variables on diabetes

Abstract

Age, Sex, Uric Acid, Blood Urea, cholesterol, Serum Triglyceride,
Smoking, Heredity and Alcohol are the nine variables that lead to get diabetes.
logistic regression approach was employed using the statistical program SPSS
to study the significant variables between them, the result’s reveled that
cholesterol, Serum Triglyceride, Heredity and age are the four effected
parameters on getting the disease. The study based on a 200 population
obtained from the National Center for Diabetes Treatment in Iraq. The true
classification percentage is 91.5% and the total error is 8.5%.