A comparative study of GNN and MLP based machine learning for the diagnosis of Alzheimer’s Disease involving data synthesis

Alzheimer’s Disease (AD) is a neurodegenerative disease that commonly occurs in older people. It is characterized by both cognitive and functional impairment. However, as AD has an unclear pathological cause, it can be hard to diagnose with confidence. This is even more so in the early stage of Mild...

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Veröffentlicht in:	Neural networks 2024-01, Vol.169, p.442-452
Hauptverfasser:	Chen, Ke, Weng, Ying, Hosseini, Akram A., Dening, Tom, Zuo, Guokun, Zhang, Yiming
Format:	Artikel
Sprache:	eng
Schlagworte:	Aged Alzheimer Disease - diagnostic imaging Alzheimer’s Disease (AD) Cognitive Dysfunction - diagnostic imaging Data fusion Fluorodeoxyglucose F18 Graph Neural Network (GNN) Humans Machine Learning Magnetic Resonance Imaging - methods Neural Networks, Computer Neurodegenerative Diseases Positron-Emission Tomography - methods Synthesis model
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