Prediction of heart disease using machine learning
Author(s):
Saurabh marathe, Madhuvanti kulkarni , Bhavesh gidwani, Aishwarya patil
Keywords:
Heart disease, Diagnose Logistic regression, random forest.
Abstract
In today’s world most of the deaths are occur by heart disease and it is very difficult to diagnose this before and also people are ignorant about their about the kind off life style they live that cause heat diseases. This research paper focuses on the people who very likely to get a heart disease on various different parameters. Our aim is to find if a person is likely to get a heart disease in the near future by considering their past medical history also by some conditions which lead to heart disease. We used algorithms such as logistic regression and, Random Forest which will help us do this task more efficiently.
Article Details
Unique Paper ID: 155321

Publication Volume & Issue: Volume 9, Issue 1

Page(s): 585 - 589
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