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...
| Main Authors: | , , , , |
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| 格式: | 文件 |
| 语言: | English |
| 出版: |
Nature Portfolio
2024-02-01
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| 丛编: | Scientific Reports |
| 在线阅读: | https://doi.org/10.1038/s41598-024-51985-w |