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Updated: Jun 13, 2026

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Computer-aided diagnosis of Alzheimer's disease using support vector machines and classification trees
D Salas-Gonzalez1, J M Górriz, J Ramírez
1Department of Signal Theory Networking and Communications, ETSIIT, University of Granada, Spain. dsalas@ugr.es
Abstract:
This paper presents a computer-aided diagnosis technique for improving the accuracy of early diagnosis of Alzheimer-type dementia. The proposed methodology is based on the selection of voxels which present Welch's t-test between both classes, normal and Alzheimer images, greater than a given threshold. The mean and standard deviation of intensity values are calculated for selected voxels. They are chosen as feature vectors for two different classifiers: support vector machines with linear kernel and classification trees. The proposed methodology reaches greater than 95% accuracy in the classification task.
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