Characterising risk of in-hospital mortality following cardiac arrest using machine learning: A retrospective international registry study

BACKGROUND: Resuscitated cardiac arrest is associated with high mortality; however, the ability to estimate risk of adverse outcomes using existing illness severity scores is limited. Using in-hospital data available within the first 24 hours of admission, we aimed to develop more accurate models of...

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Detalles Bibliográficos
Autores principales: Nanayakkara, Shane, Fogarty, Sam, Tremeer, Michael, Ross, Kelvin, Richards, Brent, Bergmeir, Christoph, Xu, Sheng, Stub, Dion, Smith, Karen, Tacey, Mark, Liew, Danny, Pilcher, David, Kaye, David M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6267953/
https://www.ncbi.nlm.nih.gov/pubmed/30500816
http://dx.doi.org/10.1371/journal.pmed.1002709

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6267953/
https://www.ncbi.nlm.nih.gov/pubmed/30500816
http://dx.doi.org/10.1371/journal.pmed.1002709

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