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

Abstract 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 cl...

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Bibliographic Details
Main Authors: Niamh McCombe, Jake Bamrah, Jose M. Sanchez‐Bornot, David P. Finn, Paula L. McClean, KongFatt Wong‐Lin, Alzheimer's Disease Neuroimaging Initiative (ADNI)
Format: Article
Language:English
Published: Wiley 2022-12-01
Series:Healthcare Technology Letters
Online Access:https://doi.org/10.1049/htl2.12037

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