Computer aided diagnosis of alzheimer disease using support vector machines and classification trees

Abstract

This paper presents a computer-aided diagnosis technique for improving the accuracy of the early diagnosis of the Alzheimer type dementia. The proposed methodology is based on the combination of support vector machine learning with linear kernels and classification trees. The classification tree technique allows to choose wisely the most discriminant set of voxels in the images. Thus, the classification tree produces a considerably improvement upon considering the support vector machine classifier only. © 2009 Springer Berlin Heidelberg.