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...
Main Authors: | , , , , , , |
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Format: | Article |
Language: | English |
Published: |
Wiley
2022-12-01
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Series: | Healthcare Technology Letters |
Online Access: | https://doi.org/10.1049/htl2.12037 |