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Updated: Jan 7, 2026

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从患者的第一天PAAC射线图中预测死亡率 内部医学重症监护室使用人工智能方法的PAAC射线图

Orhan Gok1, Türker Fedai Cavus1, Ahmed Cihad Genc2

  • 1Department of Electrical and Electronics Engineering, Faculty of Engineering, Sakarya University, Sakarya 54050, Turkey.

Diagnostics (Basel, Switzerland)
|December 30, 2025
PubMed
概括

机器学习模型可以使用胸部X射线预测重症监护室 (ICU) 患者的死亡率. 这些图像的放射性特征,通过像Subspace KNN这样的算法分析,显示出早期患者风险评估的高准确性.

关键词:
人工智能的人工智能是人工智能.重症监护病房是重症监护病房.死亡率 死亡率辐射学 放射学 辐射学胸部 胸部 胸部 胸部

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