• Meena Rao

Study and prediction of heart diseases has become a critical feature of medical care in today’s world. These diseases are now one of the main causes of death in India as well as around world. Hence, there is a need for having a realistic system that can help diagnose and predict the disease at the right time. However, predicting heart diseases is not a simple task. It involves taking into account various body parameters. Hence, there is a need to apply machine learning algorithms to take into consideration various parameters and predict the heart diseases effectively. This paper studies and compares various machine learning algorithm to predict if the patient has some heart related disease or not. A total of fourteen attributes are used and four different techniques are applied for prediction. It is seen that linear regression gives the best possible output.

ML techniques, heart disease prediction

"Heart disease prediction using efficient ML algorithms: A study of different techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.186-190, April-2019, Available :http://www.jetir.org/papers/JETIR1904W26.pdf

"Heart disease prediction using efficient ML algorithms: A study of different techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp186-190, April-2019, Available at : http://www.jetir.org/papers/JETIR1904W26.pdf