ECMO PAL: using deep neural networks for survival prediction in venoarterial extracorporeal membrane oxygenation

Stephens, A. F., Šeman, M., Diehl, A., Pilcher, D., Barbaro, R. P., Brodie, D., Pellegrino, V., Kaye, D. M., Gregory, S. D., & Hodgson, C. (2023). ECMO PAL: using deep neural networks for survival prediction in venoarterial extracorporeal membrane oxygenation. Intensive Care Medicine, 49(9), 1090–1099. https://doi.org/10.1007/s00134-023-07157-x
Authors:
Andrew F Stephens
Michael Šeman
Arne Diehl
David Pilcher
Ryan P Barbaro
Daniel Brodie
Vincent Pellegrino
David M Kaye
Shaun D Gregory
Carol Hodgson
Affiliated Authors:
Daniel Brodie
Subjects:
Mechanical Circulatory Support Systems (OpenAlex Topic)
Management of Cardiac Arrest and Resuscitation (OpenAlex Topic)
Diagnosis and Treatment of Heart Failure (OpenAlex Topic)
Extracorporeal Membrane Oxygenation (MeSH)
Heart Failure (MeSH)
Author Keywords:
artificial intelligence
big data
ecmo
machine learning
modelling
prognostication
risk adjustment
survival score
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Publication Type:
Article
Unique ID:
10.1007/s00134-023-07157-x
PMID:
37548758
DOI:
10.1007/s00134-023-07157-x
Journal:
Intensive Care Medicine
Publication Date:
Data Source:
PubMed
Source Link:
View PubMed Record
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Record Created: