Coronary Artery Disease is one of the serious diseases that is having severe impact on major part of the world population which is leading to the higher mortality rate. Due to the missing and inappropriate data, detection of CAD is not easy. This paper discussed the various approaches used so far by the researchers for the detection of the Coronary Artery Disease. Different conceptualisation of the Data Analytics and Machine Learning that are being analysed for CAD for the more accurate detection of the disease with the inconsistent and integrated values. Some of the Approaches are being compared and datasets are being analysed to acquire the appropriate results for CAD detection. Prediction of the CAD was also done using the text mining with different methods and algorithms.
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