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Updated: Jan 27, 2026

Myocardial Infarction and Functional Outcome Assessment in Pigs
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将氧化物整合到基于分辨率的指数中,用于预测ST段升高心肌梗塞患者的不良结果

Man-Ju Ting1, Chien-Chieh Hsieh2, Hsiao-Yu Yang3

  • 1Institute of Environmental and Occupational Health Sciences, National Taiwan University College of Public Health, Taipei, Taiwan.

The Journal of emergency medicine
|January 25, 2026
PubMed
概括

低氧年龄冲击指数 (HASI) 有效预测ST段升高心肌梗塞 (STEMI) 患者的死亡率. 将HASI与机器学习和环境氧化 (NOx) 结合起来,可以显著提高早期风险评估的准确性.

关键词:
在ST上升的心肌梗塞.缺氧-年龄冲击指数机器学习是机器学习.死亡率 死亡率选分类是为了分类.

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