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Updated: Jan 9, 2026

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联合贝叶斯隐藏马尔科夫模型,具有对可穿戴传感器数据的特定对象过渡

Wenbo Fei1, Zhen Miao2, Tianchen Xu3

  • 1Department of Biostatistics, Columbia University, New York, New York, USA.

Statistics in medicine
|December 6, 2025
PubMed
概括

这项研究引入了一种新的贝叶斯方法,用于分析可穿戴传感器数据,以监测帕金森病 (PD) 症状. 该方法通过同时分析多个个体来提高准确性和通用性,从而提供更好的疾病跟踪.

关键词:
帕金森病是帕金森病的一种.加速度计数据 加速度计数据层次化的迪里克莱特过程.非参数的贝叶斯式.主题特异性的影响.

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