Predicting Outcome of Endovascular Treatment for Acute Ischemic Stroke: Potential Value of Machine Learning Algorithms

Background: Endovascular treatment (EVT) is effective for stroke patients with a large vessel occlusion (LVO) of the anterior circulation. To further improve personalized stroke care, it is essential to accurately predict outcome after EVT. Machine learning might outperform classical prediction meth...

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Detalhes bibliográficos
Publicado no:Front Neurol
Principais autores: van Os, Hendrikus J. A., Ramos, Lucas A., Hilbert, Adam, van Leeuwen, Matthijs, van Walderveen, Marianne A. A., Kruyt, Nyika D., Dippel, Diederik W. J., Steyerberg, Ewout W., van der Schaaf, Irene C., Lingsma, Hester F., Schonewille, Wouter J., Majoie, Charles B. L. M., Olabarriaga, Silvia D., Zwinderman, Koos H., Venema, Esmee, Marquering, Henk A., Wermer, Marieke J. H.
Formato: Artigo
Idioma:Inglês
Publicado em: Frontiers Media S.A. 2018
Assuntos:
Neurology
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6167479/
https://ncbi.nlm.nih.gov/pubmed/30319525
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fneur.2018.00784
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