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Intubation and mortality prediction in hospitalized COVID-19 patients using a combination of convolutional neural network-based scoring of chest radiographs and clinical data.

Aileen O'SheaMatthew D LiNathaniel D MercaldoPatricia BalthazarAvik SomTristan YeungMarc D SucciBrent P LittleJayashree Kalpathy-CramerSusanna I Lee
Published in: BJR open (2022)
Model-based predictions of intubation and death in COVID-19 can be performed with high discriminative performance using admission clinical data and convolutional neural network-based scoring of chest radiograph severity.
Keyphrases
  • convolutional neural network
  • deep learning
  • sars cov
  • electronic health record
  • cardiac arrest
  • coronavirus disease
  • emergency department
  • big data
  • type diabetes
  • cardiovascular events
  • machine learning
  • risk factors