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Updated: May 23, 2025

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调整预测模型与临床信息需求:婴儿败血症病例研究.

Lusha Cao1, Aaron J Masino2,3,4, Mary Catherine Harris5,6

  • 1Department of Biomedical and Health Informatics, Children's Hospital of Philadelphia, Philadelphia, PA 19146, United States.

JAMIA open
|March 10, 2025
PubMed
概括

一个用于预测新生儿败血症风险的机器学习管道表现低于单个模型. 需要进一步的研究,以使败血症预测模型与新生儿重症监护病房的临床需求保持一致.

关键词:
新生儿重症监护病房 新生儿重症监护病房临床决策支持 临床决策支持机器学习是机器学习.这是一种血症.

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