PREDICTION OF RISK SCORE FOR HEART DISEASE IN INDIA USING MACHINE INTELLIGENCE

Machine Intelligence is used for Medical Data Mining. Medical Data Mining is finding interesting information from a large collection of Medical data. Our proposed paper tries to find useful information from heart disease data set. Twenty five to Thirty percent of deaths in the most developed countries is due to Coronary Heart Disease (CHD) or Ischemic Heart Disease (EHD). India is in a risk of developing more death due to CHD. Hence a Decision Support System (DSS) is proposed to identify a risk score for predicting the Heart risk of a Patient in the subsequent Years. 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 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 may be used for comparison. Our proposed system has nineteen features. A discussion to reduce the number of features using Genetic algorithms is made. The system is a theoretical study which proposes implementation of Machine Intelligence algorithms.