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Area under the expiratory flow-volume curve: predicted values by regression and deep learning methods and recommendations for clinical practice.

Octavian C IoachimescuJosé A RamosMichael HoffmanJames K Stoller
Published in: BMJ open respiratory research (2021)
In the absence of actual AEX-FV, a simple regression model without interactions between predictors or use of optimisation techniques can provide a reasonable estimation for clinical practice, thus making AEX-FV an easily available additional tool for interpreting spirometry.
Keyphrases
  • clinical practice
  • deep learning
  • lung function
  • artificial intelligence
  • machine learning
  • mechanical ventilation
  • convolutional neural network
  • intensive care unit
  • air pollution
  • cystic fibrosis