UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 7 Issue 10
October-2020
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2010474


Registration ID:
303047

Page Number

3639-3643

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Title

A Survey on Hybrid Particle Swarm Optimization and Neural Network for Heart Disease

Abstract

Cardiac disease is a major global health problem in modern medicine. The twenty-firstcentury adage consummate proliferation in life expectancy and a significant transference in the causes of heart disease bereavement throughout the world. The criticality of cardiac diseases are more crucial and can even lead to vulnerable consequences if it is not detected at an earlier stage. The techniques such as electronic health records, body area networks are emerged to continuously monitor and diagnose patient’s health conditions through the projection of medical sensors and wearable devices across human bodies. Since the data generated from the body area networks are continuous and tremendous in volume, the machine learning techniques are used for efficient health data classification processes. However, health data classification is the most challenging process as it needs to be executed accurately with an earlier prediction of heart diseases.

Key Words

Particle swarm optimization, Neural Network, Classification, Heart Disease

Cite This Article

"A Survey on Hybrid Particle Swarm Optimization and Neural Network for Heart Disease", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 10, page no.3639-3643, October-2020, Available :http://www.jetir.org/papers/JETIR2010474.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"A Survey on Hybrid Particle Swarm Optimization and Neural Network for Heart Disease", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 10, page no. pp3639-3643, October-2020, Available at : http://www.jetir.org/papers/JETIR2010474.pdf

Publication Details

Published Paper ID: JETIR2010474
Registration ID: 303047
Published In: Volume 7 | Issue 10 | Year October-2020
DOI (Digital Object Identifier):
Page No: 3639-3643
Country: -, -, - .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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