UGC Approved Journal no 63975(19)

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

Volume 9 Issue 6
June-2022
eISSN: 2349-5162

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

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Published Paper ID:
JETIRFN06032


Registration ID:
404000

Page Number

194-199

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Title

DETERMINE THE RISK FACTOR OF HEART DISEASE BASED ON MEDICAL DATASET.

Abstract

This paper mainly aims about risk factor of heart disease using medical dataset. The symptoms of heart disease are mainly Chest pain, chest tightness, shortness of breath and chest discomfort (angina).Machine learning (ML) has proved to be vital in predicting heart disease. Using their medical dataset is also a way to predict heart disease.

Key Words

Heart disease, Machine learning (ML), Medical dataset.

Cite This Article

"DETERMINE THE RISK FACTOR OF HEART DISEASE BASED ON MEDICAL DATASET.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 6, page no.194-199, June-2022, Available :http://www.jetir.org/papers/JETIRFN06032.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

"DETERMINE THE RISK FACTOR OF HEART DISEASE BASED ON MEDICAL DATASET.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 6, page no. pp194-199, June-2022, Available at : http://www.jetir.org/papers/JETIRFN06032.pdf

Publication Details

Published Paper ID: JETIRFN06032
Registration ID: 404000
Published In: Volume 9 | Issue 6 | Year June-2022
DOI (Digital Object Identifier):
Page No: 194-199
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication
Published Paper URL :: https://www.jetir.org/view?paper=JETIRFN06032
Published Paper PDF: https://www.jetir.org/papers/JETIRFN06032

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