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@article{155321,
        author = {Saurabh marathe and Madhuvanti kulkarni  and Bhavesh gidwani and Aishwarya patil},
        title = {Prediction of heart disease using machine learning },
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {9},
        number = {1},
        pages = {585-589},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=155321},
        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.},
        keywords = {Heart disease, Diagnose
Logistic regression, random forest.},
        month = {},
        }