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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Unique Identifier

Published Paper ID:
JETIRFN06030


Registration ID:
404002

Page Number

183-187

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Title

TO PREDICT HEART DISEASE USING MACHINE LEARNING ALGORITHM

Abstract

Heart is the most essential or crucial portion of our body. Heart is used to maintain and conjugate blood in our body. There are a lot of cases in the world related to heart diseases. People are leading to death due to heart disease. Various symptoms like chest pain, fasting of heartbeat and so on are mentioned. The health care industries found a large amount of data. This paper gives the idea of predicting heart disease using machine learning algorithms.

Key Words

Heart disease, Machine Learning, diabetes

Cite This Article

"TO PREDICT HEART DISEASE USING MACHINE LEARNING ALGORITHM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 6, page no.183-187, June-2022, Available :http://www.jetir.org/papers/JETIRFN06030.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

"TO PREDICT HEART DISEASE USING MACHINE LEARNING ALGORITHM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 6, page no. pp183-187, June-2022, Available at : http://www.jetir.org/papers/JETIRFN06030.pdf

Publication Details

Published Paper ID: JETIRFN06030
Registration ID: 404002
Published In: Volume 9 | Issue 6 | Year June-2022
DOI (Digital Object Identifier):
Page No: 183-187
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication
Published Paper URL :: https://www.jetir.org/view?paper=JETIRFN06030
Published Paper PDF: https://www.jetir.org/papers/JETIRFN06030

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