International Journal of Advanced Innovative Technology in Engineering (IJAITE)

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Heart Disease Prediction Using Machine Learning Techniques

Amit Kale, Prof. Mahip Bartere

Abstract :

Heart disease is the most common cause of death in underdeveloped, developing, and even the developed countries, lacs of people die every year due to this. Early detection and accurate prediction of this disease may certainly reduce the mortality rate. For the detection and prediction of cardiovascular diseases efficiently, there is a need for health history and causes which lead to heart diseases. Machine Learning plays a vital role in predicting and maintaining essential data about heart disease using its various machine learning techniques and Hybrid models. In the present study, the review of various research works carried out with respect to the application of machine learning in the prediction of heart diseases on the basis of datasets is presented. Present research work will assist the medical practitioners in predicting the heart threats well in time so as to take the measures to control the mishap.

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