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Updated: Jul 23, 2025

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使用机器学习预测用于甲状腺封闭性疾病的开放性再血管化后的结果

Ben Li1, Raj Verma2, Derek Beaton3

  • 1Department of Surgery, University of Toronto, Toronto, ON, Canada; Division of Vascular Surgery, St. Michael's Hospital, Unity Health Toronto, University of Toronto, Toronto, ON, Canada; Institute of Medical Science, University of Toronto, Toronto, ON, Canada; Temerty Centre for Artificial Intelligence Research and Education in Medicine (T-CAIREM), University of Toronto, Toronto, ON, Canada.

Journal of vascular surgery
|July 16, 2023
PubMed
概括

机器学习模型准确地预测了30天的结果,用于开放的甲状腺血管再循环化,优于后勤回归. 这些工具可以指导风险减轻策略,以改善患者的结果.

关键词:
机器学习 机器学习开放的动脉脏重血管化结果的结果.预测 预测 预测

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