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@article{154849,
        author = {Rajesh Rahangdale and Kranti Kumar Dewangan},
        title = {A Study and Review on implementation of Machine Learning Techniques & Data Mining in the Domain of Heart Disease Prediction},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {8},
        number = {12},
        pages = {553-556},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=154849},
        abstract = {Heart disease, which is otherwise called cardiovascular sickness, encases various circumstances that impact the heart and is the essential premise of death worldwide over the range of the most recent couple of many years. It partners many gamble factors in coronary illness and a need of an opportunity to get exact, dependable, and reasonable ways to deal with make an early finding to accomplish brief administration of the sickness. Information mining is a usually involved procedure for handling tremendous information in the medical services area. Scientists apply a few information mining and AI strategies to investigations enormous complex clinical information, helping medical care experts to anticipate Heart disease.},
        keywords = {Heart Disease Prediction, Data Mining, Machine Learning Algorithms, Random Forest, Decision Tree, Support Vector Machine, Naïve Bayse},
        month = {},
        }