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

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...

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Bibliographic Details
Main Authors: Nanziba Basnin, Tanjim Mahmud, Raihan Ul Islam, Karl Andersson
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Diagnostics
Subjects:
Alzheimer’s disease
convolutional neural network (CNN)
federated learning
belief rule base
FedAvg
FedProx
Online Access:https://www.mdpi.com/2075-4418/15/1/80
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