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Updated: Jan 16, 2026

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
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Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

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基于GNN-GRU模型和层级相关性传播的网球服务期间膝关节负荷的可解释预测

Jianqi Pan1, Zhanyi Zhou1, Zixiang Gao2

  • 1Faculty of Sports Science, Ningbo University, Ningbo, China.

Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine
|October 4, 2025
PubMed
概括

这项研究引入了一种新的图形神经网络和门式循环单元 (GNN-GRU) 模型,用于预测网球服务期间的膝关节瞬间,改进伤害风险评估. 这种新的方法准确地预测了膝盖的时刻,有助于在网球运动员中早期发现潜在的膝盖受伤.

关键词:
图表神经网络的神经网络可以解释的机器学习有门的循环单元.下肢生物力学下肢生物力学网球 网球 网球 网球

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