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Updated: Sep 20, 2025

Predicting Amputation using Local Circulating Mononuclear Progenitor Cells in Angioplasty-treated Patients with Critical Limb Ischemia
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在患有外围动脉疾病的患者中,可解释机器学习预测主要心血管不良事件的模型

Pan Song1, Xinjun Liu2, Liang Wang3

  • 1School of Nursing, Southwest Medical University, Luzhou, Sichuan Province, China.

Journal of vascular surgery
|May 22, 2025
PubMed
概括

这项研究开发了一种可解释的机器学习模型,用于预测周围动脉疾病 (PAD) 患者的主要不良心血管事件 (MACE). 梯度提升模型准确地识别高风险个体,帮助及时制定预防策略.

关键词:
机器学习 机器学习主要的不良心血管事件.周围动脉疾病是什么?预测模型的预测模型.

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