Personalized Explanations for Early Diagnosis of Alzheimer’s Disease Using Explainable Graph Neural Networks with Population Graphs

Leveraging recent advances in graph neural networks, our study introduces an application of graph convolutional networks (GCNs) within a correlation-based population graph, aiming to enhance Alzheimer’s disease (AD) prognosis and illuminate the intricacies of AD progression. This methodological appr...

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Detalles Bibliográficos
Autor principal: Kim, So Yeon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10295378/
https://www.ncbi.nlm.nih.gov/pubmed/37370632
http://dx.doi.org/10.3390/bioengineering10060701

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10295378/
https://www.ncbi.nlm.nih.gov/pubmed/37370632
http://dx.doi.org/10.3390/bioengineering10060701

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