Diagnosis of Alzheimer’s disease using hypergraph p-Laplacian regularized multi-task feature learning

• Published in: Journal of biomedical informatics Vol. 140; p. 104326
• Main Authors: Ban, Yanjiao, Lao, Huan, Li, Bin, Su, Wenjun, Zhang, Xuejun
• Format: Journal Article
• Language: English
• Published: United States Elsevier Inc 01.04.2023
• Subjects: Algorithms; Alzheimer Disease - diagnosis; Alzheimer’s disease; Brain - diagnostic imaging; Humans; Hypergraph learning; Magnetic Resonance Imaging - methods; Multi-task learning; Multimodal classification; Neuroimaging - methods; Positron-Emission Tomography - methods; Multimodal classification; Hypergraph learning; Alzheimer’s disease; Multi-task learning

Multimodal data-based classification methods have been widely used in the diagnosis of Alzheimer’s disease (AD) and have achieved better performance than single-modal-based methods. However, most classification methods based on multimodal data tend to consider only the correlation between different...