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Machine learning for outcome prediction of acute ischemic stroke post intra-arterial therapy.

INTRODUCTION: Stroke is a major cause of death and disability. Accurately predicting stroke outcome from a set of predictive variables may identify high-risk patients and guide treatment approaches, leading to decreased morbidity. Logistic regression models allow for the identification and validatio...

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Autors principals: Hamed Asadi, Richard Dowling, Bernard Yan, Peter Mitchell
Format: Artigo
Idioma:Inglês
Publicat: Public Library of Science (PLoS) 2014-01-01
Col·lecció:PLoS ONE
Accés en línia:http://europepmc.org/articles/PMC3919736?pdf=render
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