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Updated: Jan 22, 2026

Objective Nociceptive Assessment in Ventilated ICU Patients: A Feasibility Study Using Pupillometry and the Nociceptive Flexion Reflex
06:04

Objective Nociceptive Assessment in Ventilated ICU Patients: A Feasibility Study Using Pupillometry and the Nociceptive Flexion Reflex

Published on: July 4, 2018

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机器学习驱动的预测模型,以成功断ICU中机械通风患者的患者

Changcui Qiu1,2, Lulu Tang1,2, Yugang Zhuang1,3

  • 1Tongji University School of Medicine, Shanghai, China.

Intensive care medicine experimental
|January 21, 2026
PubMed
概括

这项研究开发了一种机器学习模型,以预测机械通风奶的成功. 该模型准确地确定了最佳的输出时间,减少了临床工作量并改善了患者的治疗结果.

关键词:
机器学习是机器学习.机械通风机械通风机械通风机预测模型的预测模型.风险因素 风险因素哺乳期 断奶 断奶 断奶

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