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Updated: Jan 24, 2026

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基于机器学习的预测模型,用于严重肺炎中支气管支气管洗疗效

Ning Zhang1, Lin Cui2, Xiaojun Zhang1

  • 1Department of Emergency, Qilu Hospital (Qingdao), Cheeloo College of Medicine, Shandong University, Qingdao, China.

Frontiers in medicine
|January 23, 2026
PubMed
概括

使用随机森林开发了一个预测模型,以预测严重肺炎患者的支气管支气管洗 (BAL) 疗效. 关键因素包括年龄,COPD,前素,CRP和血液气体水平,有助于临床决策.

关键词:
支气管气泡洗是一种支气管气泡洗.在社区获得的严重肺炎.有效性 有效性 有效性.机器学习是机器学习.预测模型是一个预测模型.

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