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Among many major dangerous diseases, Coronary artery disease (CAD) is considered as an important disease, because it can lead to sudden cardiac death. Manual checking is highly impossible to diagnose for this disease. To predict CAD several approaches have been carried out. This comparative study paper presented a thorough reviews on various approaches made towards prediction of heart diseases. Several data mining and soft computing approaches are studied. This study concludes that thefatcat:ltvhjztfdzhvtdyb5hlee6oymm