Monitoring and Predicting of Heart Diseases Using Machine Learning Techniques
Sachin R. Jadhav, Rohan Kulkarni, Aditya Yendralwar, Prajot Pujari, Swapnil Patwari
Abstract
Deaths due to heart disease are on the rise. Old people as well as relatively young people are succumbing to death because of heart failures. Chronic heart failures affect more than 26 millions people worldwide. This number is increasing 2% annually. Therefore it is needed for accurate diagnosis and at accurate time. The Healthcare industry produces lots of data. But this data is unstructured and not accessible easily. This data is not studied properly to extract information out of data. By using modern techniques like data mining and machine learning techniques we can get knowledge that can be used to diagnose heart diseases. Today a lot of research is happening on prediction of heart diseases. It is really important to study this research comprehensively. The sole target of this review paper is to study and summarize recent research carried out on heart disease predictions.