A Review on Classification, Detection, and Prediction of Coronary Artery Disease
Coronary artery disease is a kind of Cardio vascular disease and is sometimes referred to as Coronary heart disease or Ischemic heart disease. Now-a-days coronary artery disease is becoming one of the most common life-threatening diseases in the world. It affects both young and old age people. It will restrict the flow of blood to the heart. This restriction occurred due to changes in the lifestyle of the people and various risk factors of CAD. Some of the basic risk factors of CAD are smoking, unhealthy food habits, obesity, high blood pressure, diabetes Miletus and physical inactivity. Due to these risk factors, blocks are formed in the arteries, and the blocks are nothing but plaque which is the composition of fatty acids and other substances. Based on the degree of coronary artery disease, one or more blocks are formed in the arteries, leading to myocardial infractions. If coronary artery disease is not controlled earlier then it will lead to Congestive heart failure. To preventth is situation earlier classification, detection, and prevention of CAD is very important. The classification method is used to identify the normal person and the CAD person. The detection method is used to detect the types of CAD occurred. The prevention method is used to give medication and treatment to prevent further complications from occurring due to CAD. Various Diagnostic methods are used to identify the seriousness of CAD. So in this paper, we reviewed the types of CAD, the risk factors of CAD, and the various algorithms used for Classification, Diagnosing, Detecting, and Predicting CAD
Keywords - Coronary Artery Disease, Classification, Detection, Prediction, Diagnosis, Risk Factors.