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Updated: May 15, 2025

Combining Volumetric Capnography And Barometric Plethysmography To Measure The Lung Structure-function Relationship
08:25

Combining Volumetric Capnography And Barometric Plethysmography To Measure The Lung Structure-function Relationship

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使用机器学习预测COPD患者的超平均停留时间,患有高卡普尼性呼吸衰竭

Bingqing Zuo1, Lin Jin2, Zhixiao Sun1

  • 1Department of Pulmonary and Critical Care Medicine, The Yancheng Clinical College of Xuzhou Medical University, The First People's Hospital of Yancheng, Yancheng, Jiangsu, 224006, People's Republic of China.

Journal of inflammation research
|May 13, 2025
PubMed
概括

机器学习模型可以预测COPD患者的长期住院时间. Catboost模型在临床风险评估和患者监测方面表现出卓越的性能.

关键词:
慢性慢性肺炎是一种慢性慢性肺炎,COPD是一种慢性肺炎.一个catboost模型.人力资源基金 (HRF) 的人力资源基金 (HRF) 是慢性阻塞性肺病 慢性阻塞性肺病超性呼吸衰竭是指高性呼吸衰竭.机器学习是机器学习.超过平均逗留时间.

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