Comparison and fusion of classifiers applied to a medical diagnosis

This paper aims to compare classification methods in order to learn the strengths of each method. We will introduce the fusion of classifiers technique by using the theory of belief functions, particularly the transferable belief model. We will propose different ways of fusion in medical diagnosis of diabetes analysis problem as an application of this work.