Risk prediction of 30-day mortality after stroke using machine learning: a nationwide registry-based cohort study

BACKGROUNDS: We aimed to develop and validate machine learning (ML) models for 30-day stroke mortality for mortality risk stratification and as benchmarking models for quality improvement in stroke care. METHODS: Data from the UK Sentinel Stroke National Audit Program between 2013 to 2019 were used....

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Detalles Bibliográficos
Autores principales: Wang, Wenjuan, Rudd, Anthony G., Wang, Yanzhong, Curcin, Vasa, Wolfe, Charles D., Peek, Niels, Bray, Benjamin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9137068/
https://www.ncbi.nlm.nih.gov/pubmed/35624434
http://dx.doi.org/10.1186/s12883-022-02722-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9137068/
https://www.ncbi.nlm.nih.gov/pubmed/35624434
http://dx.doi.org/10.1186/s12883-022-02722-1

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