A prediction model for type 2 diabetes using adaptive neuro-fuzzy interface system

Abstract

Diabetes has become a major threat to the life and it is getting common day by day and is having a fast increasing trend. Unhealthy practices in consumption of food have on a major side contributed to the rise of type 2 diabetes. In this paper we have tried to develop a method for the prediction of type 2 diabetes using adaptive neuro-fuzzy interface system (ANFIS) with genetic algorithms (GA). A comparative study has also been done with the result of our previous work in which General Regression Neural Network (GRNN) is applied.