Discriminative multi-task feature selection for multi-modality classification of Alzheimer’s disease

• Published in: Brain imaging and behavior Vol. 10; no. 3; pp. 739 - 749
• Main Authors: Ye, Tingting, Zu, Chen, Jie, Biao, Shen, Dinggang, Zhang, Daoqiang
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.09.2016; Springer Nature B.V
• Subjects: Algorithms; Alzheimer Disease - classification; Alzheimer Disease - diagnostic imaging; Alzheimer's disease; Biomarkers; Biomedical and Life Sciences; Biomedicine; Classification; Cognitive ability; Cognitive Dysfunction - classification; Cognitive Dysfunction - diagnostic imaging; Datasets as Topic; Dementia; Fluorodeoxyglucose F18; Humans; Linear Models; Magnetic Resonance Imaging; Medical imaging; Neuroimaging; Neuropsychology; Neuroradiology; Neurosciences; Original Research; Positron-Emission Tomography; Psychiatry; Radiopharmaceuticals; ROC Curve; Sparsity; Group-sparsity regularizer; Multi-task feature selection; Discriminative regularization; Alzheimer’s disease; Multi-modality based classification

Recently, multi-task based feature selection methods have been used in multi-modality based classification of Alzheimer’s disease (AD) and its prodromal stage, i.e., mild cognitive impairment (MCI). However, in traditional multi-task feature selection methods, some useful discriminative information...