Forward and Backward Propagation Network based Heart Disease Prediction

Authors: Amutha J., Piramu M.

Country: India

Full-text Research PDF File:   View   |   Download

Abstract: Heart is a very important part of play in human body. Cardiovascular disease effect from wide range of conditions that affect the heart, blood vessels in which blood is pumped and circulated through the body. Heart diseases kill the person every 34 seconds researched by United States. Cardiovascular diseases handled by medical systems were very difficult to diagnose. Further, new algorithms and new tools are developing day by day to diagnose heart disease. Diagnosing of heart disease is one of the important issue but many researchers is investigated to develop medical good decision support systems. In our proposed method, a new machine learning algorithm is developed by combining forward propagation and backward propagation algorithms to implement heart disease prediction system. This method achieves highest accuracy of 96%. Heart disease prediction in accuracy results so that is better and efficient of comparing to other systems.

Keywords: Forward Propagation Network, Backward Propagation Network, Heart Disease Prediction, Cardiovascular Disease Prediction, Artificial Neural Network

Paper Id: 1590

Published On: 2022-08-17

Published In: Volume 10, Issue 4, July-August 2022

Cite This: Forward and Backward Propagation Network based Heart Disease Prediction - Amutha J., Piramu M. - IJIRMPS Volume 10, Issue 4, July-August 2022.

Share this