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Abstract

In today’s world, one of the major public health challenges is Diabetic Mellitus. The report of WHO says 347 million people worldwide have diabetes. Diabetes is a chronic disease that occurs either when the pancreas does not produce enough insulin or when the body cannot effectively use the insulin it produces. Researchers are working to prevent this disease at early stage by predicting the symptoms of diabetes using several methods. Early identification of populations at high risk for diabetes is therefore important for targeted prevention strategies and is necessary to enable proper efforts to be taken for prevention in the large number of individuals at high risk, while avoiding the burden of prevention and treatment for the even larger number of individuals at low risk, both for the individual and for society. In India Diabetes is a huge problem and about one million people died of diabetes in 2012. The main aim of this study is to apply General Regression Neural Networks (GRNN) as a prediction model for Prediction of Type-2 diabetes in Indian Women.