稳定冠状动脉病与中间冠状动脉病变的机器学习选择的炎症生物标志物:在多中心队列研究中长期预后的潜力

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Updated: Mar 6, 2026

Coronary Progenitor Cells and Soluble Biomarkers in Cardiovascular Prognosis after Coronary Angioplasty
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Coronary Progenitor Cells and Soluble Biomarkers in Cardiovascular Prognosis after Coronary Angioplasty

Published on: January 28, 2020

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Qiong Xu1, Shoupeng Duan2, Shuo Liu3

  • 1Department of Cardiology, The First Affiliated Hospital of Bengbu Medical University, Bengbu, Anhui, China.

Frontiers in physiology
|March 5, 2026
PubMed
概括

机器学习从电子健康记录中确定了关键因素,以预测稳定冠状动脉疾病 (SCAD) 患者的长期结果. 该工具有助于识别中等冠状动脉病变的高风险个体.

关键词:
炎症生物标志物 炎症生物标志物中间冠状动脉病变的中期冠状动脉病变.机器 一个钱的人.预测名ogram 预测名ogram 预测名ogram稳定的冠状动脉疾病.

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