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Updated: Jan 31, 2026

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基于机器学习的骨骨折的老年患者的术后停留时间预测

Yanli Hu1,2, Hong Qu3, Feifan Wang4

  • 1Department of Orthopedics, Yichang Central People's Hospital, Yichang, China.

Frontiers in medicine
|January 30, 2026
PubMed
概括

一个机器学习模型准确地预测了老年关节骨折患者的术后停留时间 (LOPS). 这种工具有助于临床决策和资源规划,而不会增加患者的负担.

关键词:
在BP神经网络中,神经网络年长的老人老年人老年人.部骨折 部骨折 部骨折 骨折手术后停留时间的长度.停留时间的长度.机器学习是机器学习.预测 预测 预测 预测

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