Evaluation of machine learning algorithms for treatment outcome prediction in patients with epilepsy based on structural connectome data

Title
Evaluation of machine learning algorithms for treatment outcome prediction in patients with epilepsy based on structural connectome data
Authors
Keywords
Brain connectome, Sparse machine learning, Support vector machine (SVM), Temporal lobe epilepsy (TLE), Brain network analysis, White matter fiber tractography, Diffusion tensor imaging (DTI)
Journal
NEUROIMAGE
Volume 118, Issue -, Pages 219-230
Publisher
Elsevier BV
Online
2015-06-07
DOI
10.1016/j.neuroimage.2015.06.008

Ask authors/readers for more resources

Reprint

Contact the author

Add your recorded webinar

Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.

Upload Now

Create your own webinar

Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.

Create Now