Predicting survival and neurological outcome in out-of-hospital cardiac arrest using machine learning: the SCARS model

BACKGROUND: A prediction model that estimates survival and neurological outcome in out-of-hospital cardiac arrest patients has the potential to improve clinical management in emergency rooms. METHODS: We used the Swedish Registry for Cardiopulmonary Resuscitation to study all out-of-hospital cardiac...

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Detalles Bibliográficos
Autores principales: Hessulf, Fredrik, Bhatt, Deepak L., Engdahl, Johan, Lundgren, Peter, Omerovic, Elmir, Rawshani, Aidin, Helleryd, Edvin, Dworeck, Christian, Friberg, Hans, Redfors, Björn, Nielsen, Niklas, Myredal, Anna, Frigyesi, Attila, Herlitz, Johan, Rawshani, Araz
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9945645/
https://www.ncbi.nlm.nih.gov/pubmed/36773348
http://dx.doi.org/10.1016/j.ebiom.2023.104464

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9945645/
https://www.ncbi.nlm.nih.gov/pubmed/36773348
http://dx.doi.org/10.1016/j.ebiom.2023.104464

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