Prediction of Diabetes Using Artificial Neural Networks: A Review

Diabetes is the one of the major disease for all types of age group. Two major factors are to increase the diabetes and growing incidence at child or younger aged people and even born babies this is because of obesity and legacy of diabetes. The main aim of this paper is to predict the diabetes for the age less than 25 years. This pared a way to propose comparative study with previous studies based on Neural Networks. According to this study, Multilayer Perceptron (MLP) and Probabilistic Neural Network (PNN) were proposed .The performance and accuracy compared to PNN and MLP which was trained by Back propagation, PNN achieves high accuracy for the prediction of diabetes and whether the patient is diabetic or prediabetic.