Palade V Author

Research Article Subscription

Prediction of Coronary Artery Disease Using a Combination of Methods for Training Radial Basis Function Networks

Author(s):

Alsalamah M, Amin S and Palade V

Cardiovascular disease (CAD) is among the most prevalent diseases around the world; nevertheless, its diagnosis requires highly qualified medical staff (e.g., cardiologists) because of the many variables involved in the process. Due to diagnostic complexity and the limited number of available qualified staff, the development of smart systems that could automate the diagnostic process is paramount. This paper investigates two systems in order to achieve this goal. The first system proposes the application of a data fusion with Kalman filtering in diagnosing CAD as well as in the prediction of the need to conduct a Coronary Artery Bypass Graft (CABG) in patients identified as having CAD.The second system, which is based on a combination of Particle Swarm Optim... view more»

DOI: 10.4172/lpma.1000235

Abstract HTML PDF