An explainable machine learning approach for Alzheimer’s disease classification
Abstract The early diagnosis of Alzheimer’s disease (AD) presents a significant challenge due to the subtle biomarker changes often overlooked. Machine learning (ML) models offer a promising tool for identifying individuals at risk of AD. However, current research tends to prioritize ML accuracy whi...
| Autores principales: | , , , , |
|---|---|
| Formato: | Artículo |
| Lenguaje: | English |
| Publicado: |
Nature Portfolio
2024-02-01
|
| Colección: | Scientific Reports |
| Acceso en línea: | https://doi.org/10.1038/s41598-024-51985-w |