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

BACKGROUND: 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 MR...

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Detalles Bibliográficos
Autores principales: Mourao-Miranda, J., Reinders, A. A. T. S., Rocha-Rego, V., Lappin, J., Rondina, J., Morgan, C., Morgan, K. D., Fearon, P., Jones, P. B., Doody, G. A., Murray, R. M., Kapur, S., Dazzan, P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2012
Materias:
Original Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3315786/
https://www.ncbi.nlm.nih.gov/pubmed/22059690
http://dx.doi.org/10.1017/S0033291711002005

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3315786/
https://www.ncbi.nlm.nih.gov/pubmed/22059690
http://dx.doi.org/10.1017/S0033291711002005

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