CLASSIFICATION OF RISK LEVEL FOR ISCHEMIC HEART DISEASE IN INDIA USING ARTIFICIAL INTELLIGENCE - A CASE STUDY

Cardiovascular Diseases (CVD) comprises of a group of diseases of the heart and vascular system. The major conditions include Coronary Heart Disease (CHD) or Ischemic Heart Disease(IHD) which cause 25-30 percent of deaths in most industrialized countries. India is in a risk of developing more death due to CHD. Hence a Decision Support System (DSS) is proposed to identify the level of risk for classifying the Ischemic Heart Disease of a Patient. This will help the patients in taking precautionary steps like following a balanced diet and medication which in turn may increase the life time of a patient. The features for prediction are selected after considering Indian conditions from literature and based on the Expert knowledge from Doctors. Framingham Risk score which has five attributes is used for comparison. Our proposed system will have fourteen features to be analyzed according to Indian Conditions. The system is a theoretical study which proposes implementation of Artificial Intelligence to mine the knowledge from Medical data collected.