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Updated: Jan 29, 2026

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一个基于机器学习的模型,用于评估社区获得的肺炎的严重程度,使用常规血液检测.

Chao Guan1, Fei Chen2, Yunxiao Song3

  • 1Department of Respiratory Medicine, Shanghai Xuhui Central Hospital, Fudan University, Shanghai, China.

Frontiers in cellular and infection microbiology
|January 28, 2026
PubMed
概括

使用常规血液检测的机器学习模型可以有效地区分轻度和严重的社区获得性肺炎 (CAP). 使用9个血液指标的随机森林模型实现了高准确度,有助于对CAP严重性的临床决策.

关键词:
在社区获得的肺炎.机器学习是机器学习.随机的森林随机的森林血液中的常规指标.严重程度的严重程度.

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