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Updated: Jan 29, 2026

Constructing and Visualizing Models using Mime-based Machine-learning Framework
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长期和慢性严重疾病中败血症预测的机器学习模型:使用回顾性真实世界ICU数据的开发和验证

Mikhail Ya Yadgarov1, Olga Yu Rebrova2, Levan B Berikashvili1

  • 1Federal Research and Clinical Center of Intensive Care Medicine and Rehabilitology, Moscow 107031, Russia.

Journal of clinical medicine
|January 28, 2026
PubMed
概括

在长期或慢性严重疾病 (PCI/CCI) 中预测败血症的机器学习模型显示出强大的内在性能,用于败血症排除,但缺乏通用性. 需要进一步的研究,以便在不同ICU人群中临床应用.

关键词:
这就是 SHAP SHAP 的意思.慢性危急疾病 慢性危急疾病重症监护病房的重症监护病房是一个重症监护病房.机器学习是机器学习.现实世界的数据数据.右对齐的模型是对齐的模型.败血症预测的预测

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