• Nishanth Vaidya
• Mohit Kandu
• Dr. T. Srinivasa Rao

The human services industry is found with gigantic measure of rich data yet absence of information to deal with the huge information so as to get the satisfactory outcomes. As of late loads of scientists have been ventured down to contemplate the information with various data mining frameworks to find out the realities among huge information to give the ongoing issue in medicinal services industry. Analyze of coronary illness in beginning times is one of the difficulties for these expert by adjusting ongoing AI strategies which diminishes the quantity of test to be occur and furthermore decrease the quantity of test to be occur and furthermore lessen the quantity of death from the coronary illness. Information mining gives the ordinary techniques to address these issues and sort out with the productive system to foresee the coronary illness at beginning periods utilizing different AI predication calculation. This paper outline different AI calculation associated with looking for better execution in coronary illness determination, so analysts can pick the ideal system for additional therapeutic critical thinking with high exactness.

Machine Learning, Heart Disease, Prediction

"Heart Disease Prediction Analysis Using Various Machine Learning Techniques - A Survey", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 2, page no.154-160, February-2020, Available :http://www.jetir.org/papers/JETIR2002224.pdf

"Heart Disease Prediction Analysis Using Various Machine Learning Techniques - A Survey", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 2, page no. pp154-160, February-2020, Available at : http://www.jetir.org/papers/JETIR2002224.pdf