• Dr. Ashok Kumar P S
• Riqa Rabiya
• Sowmya V
• Srishti Singh
• Srinidhi M

Machine learning techniques can be used to predict the medical datasets at an early stage for safe human life. A huge medical datasets are accessi ble in different data repositories which are used in real world applications. It is impractical for a common man to frequentl y undergo costl y tests like the ECG and various other tests. Hence there needs to be a sys t em in place which is handy and at the same time reliable, in predicting the chances of a heart disease. Thus we propose t o devel op an application which can predict the vulnerability of a heart disease given basic sympt oms like age, sex, pulse rate etc. In this project we have worked on predicting potential heart disease in people using machine learning algorithms such as K Neighbors classi fier, Decision tree classifi er, Naïve Ba yes classi fier and Random forest classi fier

Healthcare, cardiovascular disease, Prediction, Machine Learning Algorithms

"PREDICTION OF HEART DISEASE USING MACHINE LEARNING ALGORITHMS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.118-123, May-2019, Available :http://www.jetir.org/papers/JETIRCD06019.pdf

"PREDICTION OF HEART DISEASE USING MACHINE LEARNING ALGORITHMS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp118-123, May-2019, Available at : http://www.jetir.org/papers/JETIRCD06019.pdf