UGC Approved Journal no 63975(19)

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

Volume 8 Issue 3
March-2021
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2103358


Registration ID:
307286

Page Number

2818-2825

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Title

HEART DISEASE PREDICTION USING MACHINE LEARNING

Abstract

Heart is the next major organ comparing to brain which has more priority in Human body. It pumps the blood and supplies to all organs of the whole body. Prediction of occurrences of heart diseases in medical field is significant work. Data analytics is useful for prediction from more information and it helps medical center to predict of various disease. Huge amount of patient related data is maintained on monthly basis. The stored data can be useful for source of predicting the occurrence of future disease. Some of the data mining and machine learning techniques are used to predict the heart disease, such as Artificial Neural Network (ANN), Decision tree, Fuzzy Logic, K-Nearest Neighbor(KNN), Naïve Bayes and Support Vector Machine (SVM).

Key Words

Heart Disease Prediction, Disease prediction Techniques, Medical diagnosis using Machine Learning, Machine Learning

Cite This Article

"HEART DISEASE PREDICTION USING MACHINE LEARNING ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 3, page no.2818-2825, March-2021, Available :http://www.jetir.org/papers/JETIR2103358.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

"HEART DISEASE PREDICTION USING MACHINE LEARNING ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 3, page no. pp2818-2825, March-2021, Available at : http://www.jetir.org/papers/JETIR2103358.pdf

Publication Details

Published Paper ID: JETIR2103358
Registration ID: 307286
Published In: Volume 8 | Issue 3 | Year March-2021
DOI (Digital Object Identifier):
Page No: 2818-2825
Country: KOSAMBA, GUJARAT, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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