Machine learning predicts the short-term requirement for invasive ventilation among Australian critically ill COVID-19 patients

OBJECTIVE(S): To use machine learning (ML) to predict short-term requirements for invasive ventilation in patients with COVID-19 admitted to Australian intensive care units (ICUs). DESIGN: A machine learning study within a national ICU COVID-19 registry in Australia. PARTICIPANTS: Adult patients who...

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Detalles Bibliográficos
Autores principales: Karri, Roshan, Chen, Yi-Ping Phoebe, Burrell, Aidan J. C., Penny-Dimri, Jahan C., Broadley, Tessa, Trapani, Tony, Deane, Adam M., Udy, Andrew A., Plummer, Mark P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9604987/
https://www.ncbi.nlm.nih.gov/pubmed/36288359
http://dx.doi.org/10.1371/journal.pone.0276509

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9604987/
https://www.ncbi.nlm.nih.gov/pubmed/36288359
http://dx.doi.org/10.1371/journal.pone.0276509

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