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机器学习算法使用NSTEMI患者对比诱导脏病的炎症预后指数来研究NSTEMI患者的对比诱导脏病

Faysal Şaylık1, Tufan Çınar2, Murat Selçuk3

  • 1Health Sciences University, Van Training & Research Hospital, Department of Cardiology, Van, Turkey.

Biomarkers in medicine
|November 13, 2024
PubMed
概括

炎症预后指数 (IPI) 可以预测心肌梗塞患者的对比诱导性病 (CIN). 使用IPI的机器学习模型显示出早期CIN风险评估的前景.

关键词:
形成对比的诱导性脏病炎症预后指数 炎症预后指数机器学习是机器学习.这个名字是名ogramogram.非ST段升高心肌梗塞心肌梗塞

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