UGC Approved Journal no 63975

ISSN: 2349-5162 | ESTD Year : 2014
Call for Paper
Volume 9 | Issue 1 | January 2022

JETIREXPLORE- Search Thousands of research papers



WhatsApp Contact
Click Here

Published in:

Volume 8 Issue 7
July-2021
eISSN: 2349-5162

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

7.95 impact factor calculated by Google scholar

Unique Identifier

Published Paper ID:
JETIR2107493


Registration ID:
312666

Page Number

d792-d830

Share This Article


Jetir RMS

Title

STUDY OF HEART DISEASE PREDICTION USING CNN ALGORITHM

Abstract

The medical field is expanding at a faster rate, with new diseases emerging on a daily basis, necessitating the development of a proper course of treatment. The heart is a muscular organ the length of a clenched human that is in charge of blood circulation. Though the title "heart/cardiac disease" introduce to disorder that affect the heart overall and several diseases that fall under this umbrella, such as Coronary Artery Diseases (CAD), cardiomyopathy, Cardio Vascular Disease (CVD), and others that are caused by the circulation of blood throughout the body. The heart disease data prediction has been done by analyzing medical data with clinical expertise to assist clinicians in the detection of heart disease. By improving these predicting structures, the provision of health diagnostic decisions for heart disease could be improved. Heart-related illness and CVDs, which have arises as the main life-threatening disorder not only in India as well as globally heart disease is the main justification for a large number of deaths over the last few decades. So, in order to identify such disorders in time for actual remedy, a dependable, precise, or feasible procedure is necessary. ML and deep learning methodologies & approaches have been implemented to huge quantity of information in the field of medical for data processing. Researchers use a variety of deep learning as well as machine learning techniques to analyze large data sets and aid in the accurate prediction of heart diseases. In this report, suggested a Random Forest with Bi-LSTM as a hybrid approach has been found to have more accurate as compared to other algorithms.

Key Words

STUDY OF HEART DISEASE PREDICTION USING CNN ALGORITHM

Cite This Article

"STUDY OF HEART DISEASE PREDICTION USING CNN ALGORITHM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 7, page no.d792-d830, July-2021, Available :http://www.jetir.org/papers/JETIR2107493.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

"STUDY OF HEART DISEASE PREDICTION USING CNN ALGORITHM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 7, page no. ppd792-d830, July-2021, Available at : http://www.jetir.org/papers/JETIR2107493.pdf

Publication Details

Published Paper ID: JETIR2107493
Registration ID: 312666
Published In: Volume 8 | Issue 7 | Year July-2021
DOI (Digital Object Identifier):
Page No: d792-d830
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162


Preview This Article


Downlaod

Click here for Article Preview

Download PDF

Downloads

000169

Print This Page

Current Call For Paper

Jetir RMS