A Knowledge-Based Clinical Decision Support System Utilizing an Intelligent Ensemble Voting Scheme for Improved Cardiovascular Disease Prediction

A massive amount of medical data is available in healthcare industry, which can be utilized to extract useful knowledge. Clinical Decision Support System (CDSS) used improve patient’s safety by minimizing errors. Heart disease one the major chronic maladies even todays’ world. Many researchers have employed different mining techniques predict heart disease. The objective proposed framework accuracy prediction. In this paper, an ensemble based voting scheme efficiently Four benchmark datasets from UCI repository been for experimentation and evaluation. performance compared with individual classifiers as well five schemes using various parameters order show effectiveness scheme. evaluation results shows that has better average (83%) other classifiers.