• Bindu V S
• Kamatchi priya L
• Manjunath Swamy
• Badrinath V N

Abstract: Every human is much worried about his health. Health first all other are rest. The Heart is a muscular organ which pumps blood to entire body. Heart pumps the oxygenated blood to all other parts of the body using arteries and collects deoxygenated blood from all the parts of the body using veins. Heart Disease is one of the disorder that is related to arteries and blood veins of the heart. It is not that easy to know the presence of the disease in a human if known also its difficult to say which type of category it belongs to and which type of treatment must be given to that patient. Data science is one of the more important things in today’s current world for early prediction of disease and solves large data problems. Large amount of data is produced across a variety of fields. The Big Data is used to collect and organize data and valuable data need to be extracted. We need a large amount of data to analyze the useful information. In order to get that we use Data Mining and Machine Learning Techniques to build a model which can analyze the patterns and give the required prediction or the results. In this we are going to deal with the prediction of heart related disease using Support Vector Machine technique.

Keyword: Machine Learning, Data Mining, Health disease, Classification, Prediction, SVM.

"Detection of Heart related disease using machine learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 7, page no.1152-1164, August-2020, Available :http://www.jetir.org/papers/JETIR2007448.pdf

"Detection of Heart related disease using machine learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 7, page no. pp1152-1164, August-2020, Available at : http://www.jetir.org/papers/JETIR2007448.pdf