Structural MRI-based detection of Alzheimer's disease using feature ranking and classification error

• Feature ranking based feature selection is introduced for high-dimensional pattern recognition.• The raw feature vectors are obtained using voxels within statistically obtained 3D masks.• Dimensionality reduction of ranked features is provided by determining optimum number of the top ranked features.• Classification error is used to determine the optimal number of top ranked features.

Source: Computer Methods and Programs in Biomedicine - September 25, 2016 Category: Bioinformatics Authors: Iman Beheshti, Hasan Demirel, Alzheimer's Disease Neuroimaging Initiative Source Type: research