A Deep Learning Framework for Predicting Patient Decannulation on Extracorporeal Membrane Oxygenation Devices: Development and Model Analysis Study.

Joshua Fuller Alexey Abramov Dana Mullin James R Beck Philippe Lemaitre Elham Azizi

Published in: JMIR biomedical engineering (2024)

The ability to interpret and integrate large data sets is paramount for creating accurate models capable of assisting clinicians in risk stratifying patients supported on VV-ECMO. Our framework may guide future incorporation of CEVVO into more comprehensive intensive care monitoring systems.

Keyphrases

extracorporeal membrane oxygenation
acute respiratory distress syndrome
end stage renal disease
deep learning
respiratory failure
ejection fraction
newly diagnosed
chronic kidney disease
peritoneal dialysis
prognostic factors
big data
mechanical ventilation
intensive care unit
mass spectrometry
data analysis