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Heart disease is the most common causes of death in underdeveloped, developing and even the developed countries, lacs of the 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 of health history and causes which lead to heart diseases. Machine Learning plays a vital role in predicting and maintaining essential data about the Heart disease using its various machine learning techniques and Hybrid models. In present study the review of various research works carried out in respect to application of machine learning in 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.
A Tue, study studied this question.