RA-MOFS: a robustness-aware multi-objective feature selection framework for PPG-based arterial stiffness prediction
Abstract Early assessment of arterial stiffness (AS) is crucial for cardiovascular disease prevention, with photoplethysmography (PPG) emerging as a promising and convenient detection approach. While current research continuously explores novel PPG features and leverages advanced machine learning te...
| 發表在: | Journal of King Saud University: Computer and Information Sciences |
|---|---|
| Main Authors: | , , , , , , |
| 格式: | Article |
| 語言: | 英语 |
| 出版: |
Springer
2026-02-01
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| 主題: | |
| 在線閱讀: | https://doi.org/10.1007/s44443-026-00516-w |
