An explainable machine learning model for predicting the outcome of ischemic stroke after mechanical thrombectomy

BACKGROUND: There is high variability in the clinical outcomes of patients with acute ischemic stroke (AIS) after mechanical thrombectomy (MT). METHODS: 217 consecutive patients with anterior circulation large vessel occlusion who underwent MT between August 2018 and January 2022 were analysed. The...

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Detalles Bibliográficos
Autores principales: Yao, Zhelv, Mao, Chenglu, Ke, Zhihong, Xu, Yun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2023
Materias:
Clinical Neurology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10579503/
https://www.ncbi.nlm.nih.gov/pubmed/36446552
http://dx.doi.org/10.1136/jnis-2022-019598

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10579503/
https://www.ncbi.nlm.nih.gov/pubmed/36446552
http://dx.doi.org/10.1136/jnis-2022-019598

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