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Updated: Jan 20, 2026

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从可穿戴设备合成活动数据的等级加热马尔科夫建模

Darren Fang1, Dan Ruan1,2

  • 1Department of Radiation Oncology, University of California, Los Angeles, Los Angeles, CA 90095, United States.

Computational and structural biotechnology journal
|January 19, 2026
PubMed
概括

这项研究引入了一种新的等级加热马尔科夫模型 (HHMM),用于生成现实的合成可穿戴健康数据. HHMM框架保留了统计属性,使得隐私保护的数据共享和精密健康研究的先进建模成为可能.

关键词:
连续时间的马尔科夫链.分布对齐的分布对齐.层次化的马尔科夫模型不规则的抽样采集大都会 - 哈斯廷斯可穿戴设备数据合成

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