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

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

[img] Text
A Meta-Learning-Based Ensemble Model for Explainable Alzheimer’s Disease Diagnosis.pdf - Published Version
Restricted to Repository staff only

Download (1MB)

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
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

Downloads

Downloads per month over past year

View ItemEdit (login required)