• Er. Manpreet Kaur
• Er. Shailja

Data mining is a technique that turn around examine and producing out important data for large volume of dataset to making the beneficial decisions. Data mining in medical area plays a vital role based on classification. There are various problems that can be analyzed early and can be treated at the first stage. Heart diseases the classical way of analyzing heart diseases depend on medical profile and many medical tests. The main objective of this research on heart disease prediction by acquiring the data and information from the medical profile of patients. The prediction of heart disease using different techniques like support vector machine (SVM), K Nearest Neighbors (KNN) and logistic regression. These techniques produce a result with the different accuracy level but KNN algorithms gives more accurate result as compared to SVM and logistic regression. The system predicted the disease with good accuracy.

Data mining, classification, Predictive modelling, logistic regression, support vector machine, KNN (k nearest neighbors.

"Performance Analysis of Data Mining Algorithms for Prediction of Heart Diseases", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 4, page no.1059-1064, April-2020, Available :http://www.jetir.org/papers/JETIR2004144.pdf

"Performance Analysis of Data Mining Algorithms for Prediction of Heart Diseases", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 4, page no. pp1059-1064, April-2020, Available at : http://www.jetir.org/papers/JETIR2004144.pdf