• sonam kashyap
• Dr. kalpana yadav

Prediction of heart disease is based on medical practitioners on how accurately they can predict a heart disease in a patient. There are many attributes that changes the state of heart worstly. Data mining is a technique where a large data set is being analyzed by a number of tools to find the important information which is not extracted previously. After the knowledge has been discovered, it is used to precisely predict data mining or heart disease.Problems related to heart disease are the major problems in health field in this modern era. This paper gives a brief description about prediction of heart related diseases by the use of data mining techniques. The major reason to use data mining technologies is increasing amount of data in healthcare sector which is “ not minded”.Heart Disease Prediction Model supports various medical executives in guessing heart disease chances established on the basis of data of patients provided by various clinics. A organ known as heart have the most leading role in a body of human, if it is not able to work properly then a number of deaths occur that’s why there is a need to predict the main causes and symptoms of heart disease.

Heart disease, Data mining, Naïve Bayes, Decision Tree, Random Forest, logistic Regression

"A review paper on the Prediction of data mining model on heart disease ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.680-686, June-2019, Available :http://www.jetir.org/papers/JETIR1906875.pdf

"A review paper on the Prediction of data mining model on heart disease ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp680-686, June-2019, Available at : http://www.jetir.org/papers/JETIR1906875.pdf