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

<h4>Purpose</h4>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).<h4>Material and methods</h4>Sixty-eight follow-up MR FLA...

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Bibliographic Details
Main Authors: Nils Daniel Forkert, Tobias Verleger, Bastian Cheng, Götz Thomalla, Claus C Hilgetag, Jens Fiehler
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2015-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0129569