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

Mourao-Miranda, J; Reinders, AA; Rocha-Rego, V; Lappin, J; Rondina, J; Morgan, C; Morgan, KD; ... Dazzan, P; + view all (2012) Individualized prediction of illness course at the first psychotic episode: a support vector machine MRI study. Psychological Medicine , 42 (5) 1037 -1047. 10.1017/S0033291711002005. Green open access

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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.

Type: Article
Title: Individualized prediction of illness course at the first psychotic episode: a support vector machine MRI study
Location: England
Open access status: An open access version is available from UCL Discovery
DOI: 10.1017/S0033291711002005
Publisher version: http://dx.doi.org/10.1017/S0033291711002005
Language: English
Additional information: Copyright © Cambridge University Press 2011 The online version of this article is published within an Open Access environment subject to the conditions of the Creative Commons Attribution-NonCommercial-ShareAlike licence http://creativecommons.org/licenses/by-nc-sa/2.5/. The written permission of Cambridge University Press must be obtained for commercial re-use. PMCID: PMC3315786
Keywords: Adult, Brain, Brain mapping, Cohort studies, Disease progression, Female, Follow-up Studies, Humans, Image processing, Computer-assisted, Individuality, Magnetic Resonance Imaging, Male, Observer variation, Predictive value of tests, Psychotic disorders, Reproducibility of results, Support vector machines
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology > Brain Repair and Rehabilitation
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: https://discovery.ucl.ac.uk/id/eprint/1334112
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