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基于人工智能的痴呆症严重程度分类使用步态分析

Gangmin Moon1, Jaesung Cho2, Hojin Choi3

  • 1Department of Rehabilitation Medicine, Hanyang University Guri Hospital, 153, Gyeongchun-ro, Guri-si 11923, Republic of Korea.

Sensors (Basel, Switzerland)
|October 16, 2025
PubMed
概括

人工智能 (AI) 和机器学习 (ML) 可以使用步态分析对痴呆症严重程度进行分类. 这些人工智能方法有效地处理复杂的数据,改进了痴呆症诊断的传统统计方法.

关键词:
人工智能的人工智能是人工智能.认知障碍是一种认知障碍.痴呆症 痴呆症是一种痴呆症.诊断模型 诊断模型 诊断模型步态分析 步态分析步态参数 步态参数机器学习是机器学习.严重性分类的严重性分类.可以穿戴的传感器.

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