Artificial Neural Networks based Distributed Approach for Heart Disease Prediction-Reference-Cited by-同舟云学术

Artificial Neural Networks based Distributed Approach for Heart Disease Prediction

Published:2023-11-23 Issue: Volume: Page:186-196
ISSN:
Container-title:Artificial Intelligence and Knowledge Processing: Methods and Applications
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Author:

Santosh Thakur¹,K. Hemachandran²,Chourasiya Sandip K.³,Pujari Prathyusha⁴,Vishal K.⁴,Sowjanya B. R. S. S.⁴

Affiliation:

1. Mahindra University, Hyderabad, India

2. Department of Artificial Intelligence, School of Business, Woxsen University, Hyderabad, India

3. University of Petroleum and Energy Studies, Dehradun, India

4. Woxsen School of Business, Woxsen University, Kamkole, Sadasivpet, Telangana, India

Abstract

A recent study shows that almost 30% of total global deaths are caused by heart disease. These days precise diagnosis related to heart disease is very difficult. The doctor advises patients to take various tests for diagnosis, which is a very costly and time-consuming process as medical databases are large and cannot be processed quickly. A new approach has been proposed to predict heart disease from historical data sets. In this chapter, heart disease possibilities in patients are predicted with the help of neural networks on distributed computing. Feature selection was applied to the dataset to get better results and to increase the performance. Feature selection reduces the number of attributes from the dataset and only provides the necessary attributes, which directly reduces the number of tests required for the diagnosis.

Publisher

BENTHAM SCIENCE PUBLISHERS

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