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Published in:

Volume 7 Issue 7
July-2020
eISSN: 2349-5162

Unique Identifier

JETIR2007275

Page Number

2152-2156

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Title

Cardio Vascular Disease Prediction Using Machine Learning Algorithms

ISSN

2349-5162

Cite This Article

"Cardio Vascular Disease Prediction Using Machine Learning Algorithms", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 7, page no.2152-2156, July-2020, Available :http://www.jetir.org/papers/JETIR2007275.pdf

Abstract

Over the last decade cardiovascular disease is the main reason for deaths in the world. Even if cardiovascular diseases is found as the important source of death in world in ancient years, these have been announced as the most avoidable and manageable diseases. The main idea behind this work is to study diverse prediction models for cardiovascular disease and selecting important cardiovascular disease features using various algorithms such as Stochastic Gradient descent, Random forest , Logistic Regression, Decision Tree and Support Vector Machine.

Key Words

Cardio vascular disease,Fatality,early diagnosis

Cite This Article

"Cardio Vascular Disease Prediction Using Machine Learning Algorithms", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 7, page no. pp2152-2156, July-2020, Available at : http://www.jetir.org/papers/JETIR2007275.pdf

Publication Details

Published Paper ID: JETIR2007275
Registration ID: 235415
Published In: Volume 7 | Issue 7 | Year July-2020
DOI (Digital Object Identifier):
Page No: 2152-2156
ISSN Number: 2349-5162

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Cite This Article

"Cardio Vascular Disease Prediction Using Machine Learning Algorithms", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 7, page no. pp2152-2156, July-2020, Available at : http://www.jetir.org/papers/JETIR2007275.pdf




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