NeuroFusionNet: a hybrid EEG feature fusion framework for accurate and explainable Alzheimer’s Disease detection
Abstract Alzheimer’s Disease (AD) is a very common neurodegenerative disorders and early detection using electroencephalography (EEG) can enable timely intervention, however, existing computational models often lack robustness, interpretability, and clinical scalability. This study proposes NeuroFus...
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| Autors principals: | , , , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Nature Portfolio
2025-12-01
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| Col·lecció: | Scientific Reports |
| Accés en línia: | https://doi.org/10.1038/s41598-025-28070-x |
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