UGC Approved Journal no 63975(19)

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

Volume 6 Issue 3
March-2019
eISSN: 2349-5162

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

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Published Paper ID:
JETIRAQ06048


Registration ID:
202129

Page Number

238-241

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Title

A SURVEY ON HYBRID TECHNIQUES USING HEART DISEASE PREDICTION

Abstract

Heart disease is result of variation of functionality and structure of heart. This data can be used for the early detection of the heart disease, which can support to reduce the number of heart attacks. Heart disease is a most harmful one that will cause death. It has a serious long term disability. This disease attacks a person so instantly. Medical data is still information rich but awareness poor. Therefore diagnosing patients correctly on the basis of time is an difficult function for medical support. An invalid diagnosis done by the hospital leads for losing reputation. The precise diagnosis of heart disease is the dominant biomedical issue. To develop an effective treatment using data mining techniques that can help curative situations. Further data mining classification algorithms like decision trees, neural networks, Bayesian classifiers, Support vector machines, Association Rule, K- nearest neighbor classification are used to diagnosis the heart diseases. Among these algorithms Support Vector Machine (SVM) gives best result[2].

Key Words

Heart disease, Decision tree, Naive bayes, K-nearest neighbor, Support vector machine.

Cite This Article

"A SURVEY ON HYBRID TECHNIQUES USING HEART DISEASE PREDICTION ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 3, page no.238-241, March-2019, Available :http://www.jetir.org/papers/JETIRAQ06048.pdf

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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 TECHNIQUES USING HEART DISEASE PREDICTION ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 3, page no. pp238-241, March-2019, Available at : http://www.jetir.org/papers/JETIRAQ06048.pdf

Publication Details

Published Paper ID: JETIRAQ06048
Registration ID: 202129
Published In: Volume 6 | Issue 3 | Year March-2019
DOI (Digital Object Identifier):
Page No: 238-241
Country: -, -, - .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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