Multiclass Support Vector Machine-Based Lesion Mapping Predicts Functional Outcome in Ischemic Stroke Patients

PURPOSE: The aim of this study was to investigate if ischemic stroke final infarction volume and location can be used to predict the associated functional outcome using a multi-class support vector machine (SVM). MATERIAL AND METHODS: Sixty-eight follow-up MR FLAIR datasets of ischemic stroke patien...

Descripción completa

Detalles Bibliográficos
Autores principales: Forkert, Nils Daniel, Verleger, Tobias, Cheng, Bastian, Thomalla, Götz, Hilgetag, Claus C., Fiehler, Jens
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4476759/
https://www.ncbi.nlm.nih.gov/pubmed/26098418
http://dx.doi.org/10.1371/journal.pone.0129569

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4476759/
https://www.ncbi.nlm.nih.gov/pubmed/26098418
http://dx.doi.org/10.1371/journal.pone.0129569

Ejemplares similares