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使用机器学习模型来预测PAD中复血管化后血栓的发生

Samir Ghandour1, Adriana A Rodriguez Alvarez1, Isabella F Cieri1

  • 1Division of Vascular and Endovascular Surgery, Massachusetts General Hospital, Boston, MA, United States.

Frontiers in artificial intelligence
|May 22, 2025
PubMed
概括

在下肢再血管化后预测动脉血栓事件至关重要. 结合患者数据和粘弹性测试的机器学习模型有效地识别了这些事件的高风险患者.

关键词:
机器学习是机器学习.预后 预后 预后重新血管化的过程.用血小板映射绘制的血小板显微镜.血栓形成的原因是血栓形成.

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