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Updated: Feb 4, 2026

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通过适应性决策树分类器预测COVID-19住院患者的局部激增

Rachel E Murray-Watson1, Xavier Guaracha2, Alyssa Bilinski3

  • 1School of Public Health, Imperial College London.

Medical decision making : an international journal of the Society for Medical Decision Making
|February 2, 2026
PubMed
概括

决策树分类器有效地使用实时数据预测了COVID-19医院急剧增长,优于现有指标. 这些模型为流行病期间的医疗保健能力风险提供了可解释的见解.

关键词:
在 COVID-19 疫情中,决策树是一个决策树.逻辑回归的逻辑回归机器学习是机器学习.神经网络的神经网络的神经网络

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