Cargando…
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...
Autores principales: | Asadi, Hamed, Dowling, Richard, Yan, Bernard, Mitchell, Peter |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3919736/ https://www.ncbi.nlm.nih.gov/pubmed/24520356 http://dx.doi.org/10.1371/journal.pone.0088225 |
Ejemplares similares
-
Advances in Medical Revascularisation Treatments in Acute Ischemic Stroke
por: Asadi, H., et al.
Publicado: (2014) -
Prediction of post-stroke cognitive impairment after acute ischemic stroke using machine learning
por: Lee, Minwoo, et al.
Publicado: (2023) -
Interpretable machine learning for prediction of clinical outcomes in acute ischemic stroke
por: Lee, Joonwon, et al.
Publicado: (2023) -
Intra‐arterial combination therapy for experimental acute ischemic stroke
por: Maniskas, Michael E., et al.
Publicado: (2021) -
Blood Pressure May Be Associated with Arterial Collateralization in Anterior Circulation Ischemic Stroke before Acute Reperfusion Therapy
por: Jiang, Beisi, et al.
Publicado: (2017)