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在白血病中综合性败血症风险预测使用随机森林模型和受限立方支线分析

Yanqi Kou1,2, Yuan Tian2,3, Yanping Ha2,3

  • 1Department of Hematology, The First Affiliated Hospital, and College of Clinical Medicine of Henan University of Science and Technology, Luoyang, Henan Province, People's Republic of China.

Journal of inflammation research
|January 27, 2025
PubMed
概括

这项研究开发了一种机器学习模型,用于预测白血病患者的败血症风险. 随机森林模型确定了关键预测因素,如C-反应蛋白和prokalcitonin,有助于早期干预.

关键词:
生物标志物 生物标志物这种白血病是白血病.机器学习是机器学习.预测模型 预测模型这是一种血症.

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