Pre-Diagnosis of Hypertension Using Artificial Neural Network

Abstract

This paper aims to use artificial neural network ANN to contribute to pre-diagnosis of hypertension prediction, In this paper used the MATLAB to building ANN model in this model a number of people were tested to predict whether they had blood pressure disease or whether they were not infected this paper found the performance of pre-diagnosis of hypertension using artificial neural network is good method for healthcare based on results the accuracy of model reaches 81 % the proposed neural network is back propagation neural network incudes of seven input neurons in the input layer which are the factors of hypertension, four hidden neurons in the hidden layer The node of the output layer is the one that gives the classification for the data. It classifies that are having hypertension or not having hypertension.