• Miss. Srushti N. Raut
• Prof. Vikas M. Patil

Heart disease is one of the leading cause of death globally because of change in lifestyle of human being.90% of cardiovascular disease can be prevented. Expectation of cardiovascular infection is a basic test in the region of clinical information examination. Health care fields have a vast amount of data, for processing those data certain technologies are used. Machine learning strategies are one of the effective for prediction. Different investigations give just a look into anticipating heart ailment with ML systems. predict the cause and disease is one of the major challenge now a days. In this paper, we propose a novel strategy that targets finding huge includes by applying AI systems bringing about improving the exactness in the forecast of cardiovascular disease. ANN is one of the ML procedures which can be utilized to accomplish productive conclusion results and also we are using hybrid machine learning techniques for prediction.

Artificial Neural Network, SVM, Heart Disease, Machine Learning.

"ADVANCED AND SMART HEART DISEASE PREDICTION USING HYBRID MACHINE LEARNING TECHNIQUES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 7, page no.1044-1051, July-2020, Available :http://www.jetir.org/papers/JETIR2007433.pdf

"ADVANCED AND SMART HEART DISEASE PREDICTION USING HYBRID MACHINE LEARNING TECHNIQUES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 7, page no. pp1044-1051, July-2020, Available at : http://www.jetir.org/papers/JETIR2007433.pdf