Dementia classification using two-channel electroencephalography features
Abstract This study aimed to develop a novel classification model using wearable two-channel electroencephalography (EEG) data to differentiate between patients with dementia and normal controls (NCs). We employed an extreme gradient boosting (Xgboost) model combined with recursive feature eliminati...
| الحاوية / القاعدة: | Scientific Reports |
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| المؤلفون الرئيسيون: | , , , , |
| التنسيق: | مقال |
| اللغة: | الإنجليزية |
| منشور في: |
Nature Portfolio
2025-04-01
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| الموضوعات: | |
| الوصول للمادة أونلاين: | https://doi.org/10.1038/s41598-025-93513-4 |