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Machine learning predicts the short-term requirement for invasive ventilation among Australian critically ill COVID-19 patients.

Roshan KarriYi-Ping Phoebe ChenAidan J C BurrellJahan C Penny-DimriTessa BroadleyTony TrapaniAdam M DeaneAndrew A UdyMark P Plummernull null
Published in: PloS one (2022)
Machine learning can be used to predict subsequent ventilation in patients with COVID-19 who were spontaneously breathing and admitted to Australian ICUs.
Keyphrases
  • machine learning
  • respiratory failure
  • artificial intelligence
  • mechanical ventilation
  • big data
  • sars cov
  • deep learning
  • intensive care unit
  • acute respiratory distress syndrome