Predicting Flow Rate Escalation for Pediatric Patients on High Flow Nasal Cannula Using Machine Learning

Background: High flow nasal cannula (HFNC) is commonly used as non-invasive respiratory support in critically ill children. There are limited data to inform consensus on optimal device parameters, determinants of successful patient response, and indications for escalation of support. Clinical scores...

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Detalles Bibliográficos
Autores principales: Krachman, Joshua A., Patricoski, Jessica A., Le, Christopher T., Park, Jina, Zhang, Ruijing, Gong, Kirby D., Gangan, Indranuj, Winslow, Raimond L., Greenstein, Joseph L., Fackler, James, Sochet, Anthony A., Bergmann, Jules P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Pediatrics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8606666/
https://www.ncbi.nlm.nih.gov/pubmed/34820341
http://dx.doi.org/10.3389/fped.2021.734753

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8606666/
https://www.ncbi.nlm.nih.gov/pubmed/34820341
http://dx.doi.org/10.3389/fped.2021.734753

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