Machine Learning-Based Model for Prediction of Hemorrhage Transformation in Acute Ischemic Stroke After Alteplase

Hemorrhage transformation (HT) is the most dreaded complication of intravenous thrombolysis (IVT) in acute ischemic stroke (AIS). The prediction of HT after IVT is important in the treatment decision-making for AIS. We designed and compared different machine learning methods, capable of predicting H...

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Detalles Bibliográficos
Autores principales: Xu, Yanan, Li, Xiaoli, Wu, Di, Zhang, Zhengsheng, Jiang, Aizhong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Neurology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9226411/
https://www.ncbi.nlm.nih.gov/pubmed/35756919
http://dx.doi.org/10.3389/fneur.2022.897903

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9226411/
https://www.ncbi.nlm.nih.gov/pubmed/35756919
http://dx.doi.org/10.3389/fneur.2022.897903

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