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Updated: Jun 12, 2025

Real-time Pressure-volume Analysis of Acute Myocardial Infarction in Mice
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机器学习和冲击指数衍生得分,用于预测急性冠状动脉综合征患者的对照诱导性肺炎

Yunus Emre Yavuz1, Sefa Tatar2, Hakan Akıllı2

  • 1Department of Cardiology, Siirt Training and Research Hospital, Siirt, Turkey.

Shock (Augusta, Ga.)
|February 18, 2025
PubMed
概括

使用冲击指数的机器学习模型可以预测急性冠状动脉综合征 (ACS) 患者的对比诱导性病 (CIN). 新的CIN-Predict 5模型显示了比现有得分更好的准确性,有助于早期干预.

关键词:
对比诱导的脏病.机器学习是机器学习.修改后的冲击指数风险预测风险预测

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