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Updated: Feb 13, 2026

Ex Situ Normothermic Machine Perfusion of Donor Livers
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通过机器学习通过败血症相关的肝损伤的早期风险分层:一个多队列研究

Xin Chen1, Pinwen Zhou1, Jiaqi Wang1

  • 1Department of General Surgery, Nanjing Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China.

Frontiers in medicine
|February 12, 2026
PubMed
概括

机器学习模型可以早期预测与败血症相关的肝损伤 (SRLI). 随机森林模型表现最好,识别了关键预测因子,如重症患者风险分层的前血栓时间.

关键词:
机器学习是机器学习.预测模型是一个预测模型.随机的森林随机的森林这是一种血症.与败血症相关的肝损伤

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