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Title: Coronary artery disease (CAD) prediction and classification - A survey
Authors: Rajkumar R., Anandakumar K., Bharathi A.
Journal: ARPN Journal of Engineering and Applied Sciences
Publisher: Khyber Medical College, Peshawar
Country: Pakistan
Year: 2016
Volume: 11
Issue: 9
Language: English
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 the performance comparison of accuracy, sensitivity and specificity of several algorithms and approaches. This research can be done in risk assessment among diabetic patients those who are developing heart diseases.
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