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Heart Disease Diagnosis Using Artificial Neural Networks

Hilal Ahmad Bawani, Amjad Husain

Abstract


Abstract

Coronary illness is a term covering any defect of the heart. In contrast to cardiovascular problem, which portrays issues with the veins and circulatory framework just as the heart, coronary illness alludes to issues and deformations in the heart itself. As indicated by the Centers for Disease Control (CDC), coronary illness is the main source of death in the United Kingdom, United States, Canada, and Australia. One of four passing’s in US happens because of coronary illness. It is a treatable malady whenever analyzed at opportune time however that was less conceivable by customary way. So, it needs a superior and effective approach to for determination at beginning period. In this paper a heart disease prediction system based on neural networks with 14 clinical medical features as input to check whether a person suffers from heart disease or not with high accuracy.

Keywords: Cleveland dataset, neural networks, multilayer perceptron, deep learning.


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