Prediction of Heart Disease for Diabetic Patients using Genetic Neural Network

Abstract

The aim of our paper is to predict the risks of diabetic patient getting heart disease. Diabetes is a serious and chronic disease which causes serious health issues including heart disease, kidney failure and blindness, stroke. One of the most important applications of systems is in diagnosis of heart diseases because it is one of the leading causes of deaths all over the world. The proposed system presents a technique for prediction of heart disease for diabetic patients using major risk factors. This technique involves genetic algorithms and neural networks. The proposed system is implemented as a web based application, where Diabetic patient will give answers to the predefined questions. Then dataset is preprocessed in order to make suitabledata and compares the user data using Multilayer perceptron neural network. Back propagation algorithm will be used to train the network using the weights optimized by Genetic algorithm.
DOI: 10.17762/ijritcc2321-8169.1507135