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An Evolutionary Federated Learning Approach to Diagnose Alzheimer’s Disease Under Uncertainty

<b>Background:</b> Alzheimer’s disease (AD) leads to severe cognitive impairment and functional decline in patients, and its exact cause remains unknown. Early diagnosis of AD is imperative to enable timely interventions that can slow the progression of the disease. This research tackles the complex...

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Uloženo v:
Hlavní autoři: Nanziba Basnin, Tanjim Mahmud, Raihan Ul Islam, Karl Andersson
Médium: Artigo
Jazyk:Inglês
Vydáno: MDPI AG 2025-01-01
Edice:Diagnostics
Témata:
Alzheimer’s disease
convolutional neural network (CNN)
federated learning
belief rule base
FedAvg
FedProx
On-line přístup:https://www.mdpi.com/2075-4418/15/1/80
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