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

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...

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Detalles Bibliográficos
Autores principales: Jiao, Zhuqing, Chen, Siwei, Shi, Haifeng, Xu, Jia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8773824/
https://www.ncbi.nlm.nih.gov/pubmed/35053823
http://dx.doi.org/10.3390/brainsci12010080

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8773824/
https://www.ncbi.nlm.nih.gov/pubmed/35053823
http://dx.doi.org/10.3390/brainsci12010080

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