Random forest-based prediction of stroke outcome

We research into the clinical, biochemical and neuroimaging factors associated with the outcome of stroke patients to generate a predictive model using machine learning techniques for prediction of mortality and morbidity 3-months after admission. The dataset consisted of patients with ischemic stro...

Descripción completa

Detalles Bibliográficos
Autores principales: Fernandez-Lozano, Carlos, Hervella, Pablo, Mato-Abad, Virginia, Rodríguez-Yáñez, Manuel, Suárez-Garaboa, Sonia, López-Dequidt, Iria, Estany-Gestal, Ana, Sobrino, Tomás, Campos, Francisco, Castillo, José, Rodríguez-Yáñez, Santiago, Iglesias-Rey, Ramón
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8115135/
https://www.ncbi.nlm.nih.gov/pubmed/33980906
http://dx.doi.org/10.1038/s41598-021-89434-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8115135/
https://www.ncbi.nlm.nih.gov/pubmed/33980906
http://dx.doi.org/10.1038/s41598-021-89434-7

Ejemplares similares