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...

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書目詳細資料
發表在:Journal of King Saud University: Computer and Information Sciences
Main Authors: Shoutian Wu, Zeyang Song, Yunlong Li, Xuelei Li, Ting Sun, Zuchang Ma, Yining Sun
格式: Article
語言:英语
出版: Springer 2026-02-01
主題:
在線閱讀:https://doi.org/10.1007/s44443-026-00516-w