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Updated: Mar 12, 2026

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向死亡风险的实际查:从NHANESES的可解释机器学习的见解

Yi-Ting Lin1, Lian-Yu Lin2,3, Kai-Jen Chuang4,5

  • 1Department of Medicine, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan.

International journal of cardiology. Cardiovascular risk and prevention
|March 11, 2026
PubMed
概括

识别关键的死亡预测因子,如年龄,Troponin T (TNT) 和NT-proBNP,对于公共卫生查至关重要. 一个简单的五变量模型有效预测成年人死亡风险.

关键词:
机器学习 机器学习死亡率 死亡率 死亡率这是一种N-终端的B型天然尿素.尼汉斯 (NHANES) 是一个名人.查死亡率 查死亡率热素 热素

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