一个有效的混合特征选择使用重量方法用于自动睡眠分阶段

Weibo Wang1, Junwen Li1, Yu Fang1

  • 1School of Electrical and Electronic Information, Xihua University, Chengdu 610039, People's Republic of China.

PubMed
概括

本研究介绍了一种混合特征选择方法,用于使用机器学习进行自动睡眠分阶段. 该方法有效地将185个特征减少到30个,在分类睡眠阶段方面实现了高精度.

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