Alzheimer's disease classification using cluster‐based labelling for graph neural network on heterogeneous data

Biomarkers for Alzheimer's disease (AD) diagnosis do not always correlate reliably with cognitive symptoms, making clinical diagnosis inconsistent. In this study, the performance of a graphical neural network (GNN) classifier based on data‐driven diagnostic classes from unsupervised clustering...

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Detalles Bibliográficos
Autores principales: McCombe, Niamh, Bamrah, Jake, Sanchez‐Bornot, Jose M., Finn, David P., McClean, Paula L., Wong‐Lin, KongFatt
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Letters
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9731537/
https://www.ncbi.nlm.nih.gov/pubmed/36514476
http://dx.doi.org/10.1049/htl2.12037

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9731537/
https://www.ncbi.nlm.nih.gov/pubmed/36514476
http://dx.doi.org/10.1049/htl2.12037

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