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IJSTR >> Volume 9 - Issue 4, April 2020 Edition



International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616



An Analytical Study On Prediction Of Heart Failure Through Machine Learning

[Full Text]

 

AUTHOR(S)

Shreya Yadav, M.S. Takalikar

 

KEYWORDS

Congestive Heart Failure Prediction, Machine Learning, Heart Disease.

 

ABSTRACT

Due to unhealthy lifestyle practices and enormous stress in today's world, it is being completely unpredictable when a person can get a heart attack or heart failures. Even most of the times doctors and health experts are also not able to predict the heart failures, because of this prediction of heart failure remains as a mystery even though on having so much advance technologies in the medical field. Machine learning algorithms also jump into this to predict the heart failures using some techniques like complex event processing and others. These processes involve a large amount of data to learn about the conditions and then they predict the heart failures. It is not possible to provide large amount of data every time to predict the heart failures, So some techniques should be there to provide the same in a moderate amount of datasets condition. So we try to concentrate mainly on evaluating the existing methodologies and try to find the flaws in them so that a new effective idea for heart failure prediction can be brought into light that works efficiently.

 

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