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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BMJ Publishing Group
2023
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| Materias: | |
| 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 |