SWIFT: A deep learning approach to prediction of hypoxemic events in critically-Ill patients using SpO(2) waveform prediction

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Hypoxemia is a significant driver of mortality and poor clinical outcomes in conditions such as brain injury and cardiac arrest in critically ill patients, including COVID-19 patients. Given the host of negative clinical outcomes attributed to hypoxemia, identifying patients likely to experience hyp...

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Detalles Bibliográficos
Autores principales: Annapragada, Akshaya V., Greenstein, Joseph L., Bose, Sanjukta N., Winters, Bradford D., Sarma, Sridevi V., Winslow, Raimond L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8730462/
https://www.ncbi.nlm.nih.gov/pubmed/34932550
http://dx.doi.org/10.1371/journal.pcbi.1009712

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8730462/
https://www.ncbi.nlm.nih.gov/pubmed/34932550
http://dx.doi.org/10.1371/journal.pcbi.1009712

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