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Updated: Jan 14, 2026

Investigation into Deep Breathing through Measurement of Ventilatory Parameters and Observation of Breathing Patterns
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Investigation into Deep Breathing through Measurement of Ventilatory Parameters and Observation of Breathing Patterns

Published on: September 16, 2019

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基于自动机器学习的自发呼吸试验中通过通风参数评估的断奶呼吸储备的预测值:一项回顾性研究

Gao Xinjing1,2,3,4, Ren Jie5, Li Zhibo1,2,3,4

  • 1Department of Critical Care Medicine, Tianjin Third Central Hospital, Tianjin, China.

Respiration; international review of thoracic diseases
|October 17, 2025
PubMed
概括

在自发呼吸试验 (SBT) 中使用呼吸器参数评估呼吸储备可以预测难以断奶的情况. 机器学习模型,特别是AutoML,为全面分析这些参数提供了一个有希望的方法,以改善患者的治疗结果.

关键词:
自动机器学习自动化机器学习机械通风机械通风机械通风机呼吸系统储备 呼吸系统储备进行自发呼吸试验.断奶 断奶 断奶 断奶 断奶

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