A Graph Convolutional Network Based on Univariate Neurodegeneration Biomarker for Alzheimer’s Disease Diagnosis

Objective: Alzheimer’s disease (AD) is a progressive and irreversible neurodegenerative disease that is not easily detectable in the early stage. This study proposed an efficient method of applying a graph convolutional network (GCN) on the early prediction of AD. Methods: We proposed a univariate n...

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Detalles Bibliográficos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: IEEE 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10365071/
https://www.ncbi.nlm.nih.gov/pubmed/37492469
http://dx.doi.org/10.1109/JTEHM.2023.3285723

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10365071/
https://www.ncbi.nlm.nih.gov/pubmed/37492469
http://dx.doi.org/10.1109/JTEHM.2023.3285723

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