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Updated: May 6, 2026

Integrated Compensatory Responses in a Human Model of Hemorrhage
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Published on: November 20, 2016

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在创伤中大量输血的现场机器学习预测模型及其与医院死亡率的关联

Byungchul Yu1,2, Jaehyeong Cho3,4, Hyunjee Kim3,5

  • 1Traumatology, Gachon University College of Medicine, Incheon, Korea.

BJS open
|February 18, 2026
PubMed
概括

一个新的机器学习模型准确地预测了创伤患者的大规模输血 (MT) 需求和死亡风险,仅使用医院前数据. 这种工具有助于早期分拣,改善了严重受伤的个体的结果.

关键词:
人工智能是一种人工智能.

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