Citation
Al-bakri, Fatima Hasan and Wan Bejuri, Wan Mohd Yaakob and Al-Andoli, Mohammed Nasser and Raja Ikram, Raja Rina and Khor, Hui Min and Tahir, Zulkifli (2025) A Meta-Learning-Based Ensemble Model for Explainable Alzheimer’s Disease Diagnosis. Diagnostics, 15 (13). p. 1642. ISSN 2075-4418![]() |
Text
A Meta-Learning-Based Ensemble Model for Explainable Alzheimer’s Disease Diagnosis.pdf - Published Version Restricted to Repository staff only Download (1MB) |
Official URL: https://doi.org/10.3390/diagnostics15131642
Abstract
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 “black-box” problem in current XAI models.
Item Type: | Article |
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Uncontrolled Keywords: | Alzheimer, clinical data |
Subjects: | Q Science > Q Science (General) > Q300-390 Cybernetics R Medicine > RC Internal medicine > RC71-78.7 Examination. Diagnosis |
Divisions: | Faculty of Computing and Informatics (FCI) |
Depositing User: | Ms Rosnani Abd Wahab |
Date Deposited: | 29 Jul 2025 06:34 |
Last Modified: | 01 Aug 2025 04:52 |
URII: | http://shdl.mmu.edu.my/id/eprint/14402 |
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