Artificial neural networks improve early outcome prediction and risk classification in out-of-hospital cardiac arrest patients admitted to intensive care

BACKGROUND: Pre-hospital circumstances, cardiac arrest characteristics, comorbidities and clinical status on admission are strongly associated with outcome after out-of-hospital cardiac arrest (OHCA). Early prediction of outcome may inform prognosis, tailor therapy and help in interpreting the inter...

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Detalles Bibliográficos
Autores principales: Johnsson, Jesper, Björnsson, Ola, Andersson, Peder, Jakobsson, Andreas, Cronberg, Tobias, Lilja, Gisela, Friberg, Hans, Hassager, Christian, Kjaergard, Jesper, Wise, Matt, Nielsen, Niklas, Frigyesi, Attila
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7394679/
https://www.ncbi.nlm.nih.gov/pubmed/32731878
http://dx.doi.org/10.1186/s13054-020-03103-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7394679/
https://www.ncbi.nlm.nih.gov/pubmed/32731878
http://dx.doi.org/10.1186/s13054-020-03103-1

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