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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...
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 |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
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 |
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