Abstract
Heart disease detection is the need of the hour as it not only deteriorated adults but children are also showing symptoms of it all over the world. It can occur to a person having an improper diet, high cholesterol level, smoking habits, addiction to alcohol or drugs and even occurs to a diabetic patient. Various approaches are there in various fields, say in Machine Learning, Soft Computing, Data Mining are there. This paper aims to provide a survey of several research papers comprising of the above techniques on determining the heart diseases. This paper gives the perspective for the researchers for future work.
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