Identifying individuals at high risk of psychosis: predictive utility of Support Vector Machine using structural and functional MRI data

Identifying individuals at high risk of psychosis: predictive utility of Support Vector Machine using structural and functional MRI data

The identification of individuals at high risk of developing psychosis is entirely based on clinical assessment, associated with limited predictive potential. There is therefore increasing interest in the development of biological markers that could be used in clinical practice for this purpose. We...

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Bibliographic Details
Main Authors: Isabel eValli, Andre eMarquand, Andrea eMechelli, Marie eRaffin, Paul eAllen, Marc eSeal, Philip eMcGuire
Format: Article
Language:English
Published: Frontiers Media S.A. 2016-04-01
Series:Frontiers in Psychiatry
Subjects:
Memory
Schizophrenia
Verbal Learning
psychosis
risk
MRI and fMRI
Online Access:http://journal.frontiersin.org/Journal/10.3389/fpsyt.2016.00052/full

Internet

http://journal.frontiersin.org/Journal/10.3389/fpsyt.2016.00052/full

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