Development of a deep learning model that predicts bi-level positive airway pressure failure

HIGHLIGHTS

• who: Daniel D. Im from the DepartmentUniversity of have published the research work: Development of a deep learning model that predicts Bi-level positive airway pressure failure, in the Journal: Scientific Reports Scientific Reports
• what: This study demonstrated that a deep learning model (LSTM-RNN) using readily available EMR data could identify children at risk for BIPAP failure.
• how: The study was conducted in accordance with the Declaration of Helsinki. Model performance in patients with a low S/F ratio at the time of 6-h and 24-h predictions were evaluated to . . .
  

   

  

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