Prediction of large vessel occlusion for ischaemic stroke by using the machine learning model random forests

BACKGROUNDS: The timely identification of large vessel occlusion (LVO) in the prehospital stage is extremely important given the disease morbidity and narrow time window for intervention. The current evaluation strategies still remain challenging. The goal of this study was to develop a machine lear...

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Detalles Bibliográficos
Autores principales: Wang, Jianan, Zhang, Jungen, Gong, Xiaoxian, Zhang, Wenhua, Zhou, Ying, Lou, Min
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2021
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9067264/
https://www.ncbi.nlm.nih.gov/pubmed/34702747
http://dx.doi.org/10.1136/svn-2021-001096

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9067264/
https://www.ncbi.nlm.nih.gov/pubmed/34702747
http://dx.doi.org/10.1136/svn-2021-001096

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