Developing and externally validating a machine learning risk prediction model for 30-day mortality after stroke using national stroke registers in the UK and Sweden

OBJECTIVES: We aimed to develop and externally validate a generalisable risk prediction model for 30-day stroke mortality suitable for supporting quality improvement analytics in stroke care using large nationwide stroke registers in the UK and Sweden. DESIGN: Registry-based cohort study. SETTING: S...

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Detalles Bibliográficos
Autores principales: Wang, Wenjuan, Otieno, Josline A, Eriksson, Marie, Wolfe, Charles D, Curcin, Vasa, Bray, Benjamin D
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2023
Materias:
Neurology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10660948/
https://www.ncbi.nlm.nih.gov/pubmed/37968001
http://dx.doi.org/10.1136/bmjopen-2022-069811

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10660948/
https://www.ncbi.nlm.nih.gov/pubmed/37968001
http://dx.doi.org/10.1136/bmjopen-2022-069811

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