Heart Disease Prediction Using Machine Learning Techniques: A Survey for Societal Care and Information

WHO reports states that nearly 1crore 20 lakhs deaths happens due to heart diseases. In past years heart disease or cardiovascular disease cause large impact in medical industries, so they are really very dangerous and have a large impact worldwide. Although precious prediction of heart diseases or CD and also the 24 h monitoring on patient is not possible because it requires lots of knowledge and time. Heart disease treatment or diagnosis are very complicated, mainly in the poor countries or the countries which are not fully developed. Also, because of not having proper medical attention or timely cure of disease it can lead to death of the person. The medical industry has a large amount of data and is continuously used by researchers to develop new science and technology to minimize the number of deaths happens due to heart disease. This paper focuses on the various Machine Learning techniques used to predict heart disease from datasets.