Predicting High Flow Nasal Cannula Failure in an Intensive Care Unit Using a Recurrent Neural Network With Transfer Learning and Input Data Perseveration: Retrospective Analysis

BACKGROUND: High flow nasal cannula (HFNC) provides noninvasive respiratory support for children who are critically ill who may tolerate it more readily than other noninvasive ventilation (NIV) techniques such as bilevel positive airway pressure and continuous positive airway pressure. Moreover, HFN...

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Detalles Bibliográficos
Autores principales: Pappy, George, Aczon, Melissa, Wetzel, Randall, Ledbetter, David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2022
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8931642/
https://www.ncbi.nlm.nih.gov/pubmed/35238792
http://dx.doi.org/10.2196/31760

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8931642/
https://www.ncbi.nlm.nih.gov/pubmed/35238792
http://dx.doi.org/10.2196/31760

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