Individualized prediction of illness course at the first psychotic episode: a support vector machine MRI study.
Reinders, A A T S
Morgan, K D
Jones, P B
Doody, G A
Murray, R M
AffiliationCentre for Neuroimaging Sciences, Institute of Psychiatry, King's College London, UK.
Image Processing, Computer-Assisted
Magnetic Resonance Imaging
Predictive Value of Tests
Reproducibility of Results
Support Vector Machines
MetadataShow full item record
CitationIndividualized prediction of illness course at the first psychotic episode: a support vector machine MRI study. 2012, 42 (5):1037-47 Psychol Med
AbstractTo date, magnetic resonance imaging (MRI) has made little impact on the diagnosis and monitoring of psychoses in individual patients. In this study, we used a support vector machine (SVM) whole-brain classification approach to predict future illness course at the individual level from MRI data obtained at the first psychotic episode.
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