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

In: City, Society, and Digital Transformation

Author

Listed:
  • Hangtian Li

    (Tsinghua University)

  • Xiaolei Xie

    (Tsinghua University)

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.

Suggested Citation

  • Hangtian Li & Xiaolei Xie, 2022. "Deep Learning-Based Prediction of Mechanical Ventilation Reintubation in Intensive Care Units," Lecture Notes in Operations Research, in: Robin Qiu & Wai Kin Victor Chan & Weiwei Chen & Youakim Badr & Canrong Zhang (ed.), City, Society, and Digital Transformation, chapter 0, pages 15-22, Springer.
    • Handle: RePEc:spr:lnopch:978-3-031-15644-1_2
    DOI: 10.1007/978-3-031-15644-1_2
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