Recursive Cluster Elimination Based Support Vector Machine for Disease State Prediction Using Resting State Functional and Effective Brain Connectivity

标题
Recursive Cluster Elimination Based Support Vector Machine for Disease State Prediction Using Resting State Functional and Effective Brain Connectivity
作者
关键词
Amygdala, Emotions, Behavior, Neuroimaging, Functional magnetic resonance imaging, Prefrontal cortex, Brain diseases, Support vector machines
出版物
PLoS One
Volume 5, Issue 12, Pages e14277
出版商
Public Library of Science (PLoS)
发表日期
2010-12-22
DOI
10.1371/journal.pone.0014277

向作者/读者发起求助以获取更多资源

Reprint

联系作者

Create your own webinar

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

Create Now

Ask a Question. Answer a Question.

Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.

Get Started