• Meenu Shukla
• Sandeep Kumar
• Rishabh Sharma
• Saurabh Sharma
• Rishabh Tyagi

Heart is the second most significant feature relative to the human body's nucleus. It filters the blood, providing all of the body's organs. Data processing allows monitoring further knowledge and lets the patient identify various diseases. Significant numbers of patient-related data are held regularly. The accumulated data can be useful as a tool for forecasting possible disease happens. Such as Decision Tree, Naive Bayes, Support Vector Machine as well as K-Nearest Neighbor some of the Data mining and Machine learning methods are being used to forecast cardiovascular disease. The paper presents a nearby of the successful algorithm and discusses the current work in general. There is also an approx. estimation of data which is compounded using all the datasets.

Data Mining, forecasting heart disease, pre-processing model, prediction classifiers.

"A REVIEW ON HEART DISEASE PREDICTION USING DATA MINING TECHNIQUES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 5, page no.842-847, May-2020, Available :http://www.jetir.org/papers/JETIR2005254.pdf

"A REVIEW ON HEART DISEASE PREDICTION USING DATA MINING TECHNIQUES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 5, page no. pp842-847, May-2020, Available at : http://www.jetir.org/papers/JETIR2005254.pdf