• Mrs. Nikita Shrivastava
• Mr. Shashank Girepunje
• Dr. Rahul Chawda

Heart disease, which is also known as cardiovascular disease, encloses different conditions that effect the heart and is the primary basis of death worldwide over the span of the last few decades. It associates many risk factors in heart disease and a need of the time to get accurate, reliable, and sensible approaches to make an early diagnosis to achieve prompt management of the disease. Data mining is a commonly used technique for processing enormous data in the healthcare domain. Researchers apply several data mining and machine learning techniques to analyses huge complex medical data, helping healthcare professionals to predict heart disease.

Heart Disease Prediction, Data Mining, Machine Learning Algorithms, Random Forest, Decision Tree, Support Vector Machine, Naïve Bais algorithm

"A Study and Review on implementation of Machine Learning Techniques & Data Mining in the Domain of Heart Disease Prediction", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 6, page no.e65-e67, June-2021, Available :http://www.jetir.org/papers/JETIR2106562.pdf

"A Study and Review on implementation of Machine Learning Techniques & Data Mining in the Domain of Heart Disease Prediction", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 6, page no. ppe65-e67, June-2021, Available at : http://www.jetir.org/papers/JETIR2106562.pdf