Deep Learning-Based Prediction of Mechanical Ventilation Reintubation in Intensive Care Units

Hangtian Li () and Xiaolei Xie ()
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Hangtian Li: Tsinghua University
Xiaolei Xie: Tsinghua University

Chapter Chapter 2 in City, Society, and Digital Transformation, 2022, pp 15-22 from Springer

Abstract: Abstract Mechanical ventilation is widely used in intensive care units, especially for the treatment of acute respiratory distress syndrome and acute lung injury. Physiological parameters of critically ill patients change rapidly, which poses a challenge to the strategy development of mechanical ventilation. Despite the existence of multiple clinical guidelines, a personalized ventilation strategy is still lacking. With the rapid development of machine learning, many studies have applied machine learning methods to ventilator strategy optimization, but there is currently a lack of research on predicting the situation of reintubation after weaning. This study proposes a deep learning algorithm including an attention mechanism to predict the situation of reintubation after weaning, and achieved better performance than the basic algorithm.

Keywords: Mechanical ventilation; Deep learning; Attention mechanism; Reintubation (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:spr:lnopch:978-3-031-15644-1_2

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DOI: 10.1007/978-3-031-15644-1_2

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