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Updated: May 2, 2026

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以时间图为基础的卷积神经网络 (TG-CNNs) 提前1-5年预测关节和膝关节置换的初级保健

Zoe Hancox1, Sarah R Kingsbury2,3, Philip G Conaghan2,3

  • 1School of Computing, University of Leeds, Leeds, UK.

Rheumatology (Oxford, England)
|April 3, 2025
PubMed
概括

使用人工智能 (AI) 和临床代码,可以提前五年预测关节和膝关节置换风险. 这种人工智能模型可以帮助规划预防性治疗和患者分拣.

关键词:
这就是Hip-Hip-Hip的意义.电子健康记录是电子健康记录.图表图表图表图表图表图表图表关节更换 关节更换 关节更换膝盖 膝盖 膝盖 在风险预测风险预测

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A Gran plot is used to predict the equivalence volume or endpoint of a potentiometric or acid-base titration without reaching the endpoint. Typically, titration data is collected as a function of the titrant's volume up to a point less than the equivalence volume and then transformed into a linear format. The straight line is extended to the x-axis, indicating the necessary titrant volume to achieve the equivalence point.
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