Multi-Modal Feature Selection with Feature Correlation and Feature Structure Fusion for MCI and AD Classification

• Published in: Brain sciences Vol. 12; no. 1; p. 80
• Main Authors: Jiao, Zhuqing, Chen, Siwei, Shi, Haifeng, Xu, Jia
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 05.01.2022; MDPI
• Subjects: Algorithms; Alzheimer's disease; Brain research; Classification; Cognitive ability; Complementarity; feature correlation; Feature selection; feature structure fusion; Graphs; Information sharing; Magnetic resonance imaging; Memory; multi-modal; Neurodegenerative diseases; Nodes; Tomography; classification; multi-modal; feature correlation; feature selection; feature structure fusion

Feature selection for multiple types of data has been widely applied in mild cognitive impairment (MCI) and Alzheimer’s disease (AD) classification research. Combining multi-modal data for classification can better realize the complementarity of valuable information. In order to improve the classifi...