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使用机器学习模型预测和模拟PEEP设置效应

Claas Händel1, Inéz Frerichs2, Norbert Weiler2

  • 1Department of Anaesthesiology and Intensive Care Medicine, University Medical Centre Schleswig-Holstein, Campus Kiel, Kiel, Germany; Department of Medical Informatics, University Medical Centre Schleswig-Holstein, Campus Kiel, Kiel, Germany.

Medicina intensiva
|December 22, 2023
PubMed
概括

一个新的机器学习模型可以预测通风成功参数,如氧气和二氧化碳水平,以帮助调整ICU患者的阳性末尾呼吸压力 (PEEP). 这种人工智能方法为优化机械通风提供了一种具有成本效益的方法.

关键词:
自动学习是一种自动学习.重症监护病房的重症监护病房是重症监护病房.机器学习 机器学习机械通风机械通风的使用神经网络模型的神经网络模型神经网络模型的神经网络模型集中护理单位的重症监护.机械通风 机械通风

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