• Madhuri Rajkumar Howal
• Prof. Antosh. M. Dyade

Diseases associated with Heart i.e. Cardiovascular Diseases (CVDs) are the primary motive for the wide variety of deaths within side the route of the maximum current couple of a long time and has advanced because the maximum perilous ailment, in India and within side the complete world. In this way, there may be a want for accurate, viable and dependable device to research such maladies in time for valid treatment. Machine Learning algorithms and processes were applied to numerous clinical datasets to numerous clinical datasets to research of widespread and complicated information. Numerous analysts, as of late, were the usage of numerous techniques to allow the fitness care enterprise and the specialist’s within side the prognosis of coronary heart associated diseases. This paper demonstrates a survey of numerous fashions primarily based totally on such algorithms and strategies and analyzes their performance. Models rely on supervised mastering algorithms along with Support Vector Machines (SVM), K-Nearest Neighbors (KNN), Naıve Bayes, Decision Trees (DT), Random Forest (RF) and ensemble fashions are located extraordinarily distinguished the various researchers.

"Heart Disease Prediction Using Machine Learning Technique", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 8, page no.c263-c266, August-2022, Available :http://www.jetir.org/papers/JETIR2208227.pdf

"Heart Disease Prediction Using Machine Learning Technique", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 8, page no. ppc263-c266, August-2022, Available at : http://www.jetir.org/papers/JETIR2208227.pdf