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Individualized prediction of illness course at the first psychotic episode: a support vector machine MRI study

Research output: Contribution to journalArticlepeer-review

Original languageEnglish
Pages (from-to)1037-47
Number of pages11
JournalPsychological Medicine
Volume42
Issue number5
DOIs
PublishedMay 2012

King's Authors

Abstract

To 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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