A Meta-Learning-Based Ensemble Model for Explainable Alzheimer’s Disease Diagnosis

A Meta-Learning-Based Ensemble Model for Explainable Alzheimer’s Disease Diagnosis

<b>Background/Objectives:</b> Artificial intelligence (AI) models for Alzheimer’s disease (AD) diagnosis often face the challenge of limited explainability, hindering their clinical adoption. Previous studies have relied on full-scale MRI, which increases unnecessary features, creating a...

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Main Authors: Fatima Hasan Al-bakri, Wan Mohd Yaakob Wan Bejuri, Mohamed Nasser Al-Andoli, Raja Rina Raja Ikram, Hui Min Khor, Zulkifli Tahir, The Alzheimer’s Disease Neuroimaging Initiative
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Diagnostics
Subjects:
Alzheimer’s disease diagnosis
explainable artificial intelligence (XAI)
ensemble learning
mid-slice MRI
lateral ventricles
clinical data
Online Access:https://www.mdpi.com/2075-4418/15/13/1642
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https://www.mdpi.com/2075-4418/15/13/1642

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