Prediction of transition from ultra-high risk to first-episode psychosis using a probabilistic model combining history, clinical assessment and fatty-acid biomarkers

Current criteria identifying patients with ultra-high risk of psychosis (UHR) have low specificity, and less than one-third of UHR cases experience transition to psychosis within 3 years of initial assessment. We explored whether a Bayesian probabilistic multimodal model, combining baseline historic...

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Detalles Bibliográficos
Autores principales: Clark, S R, Baune, B T, Schubert, K O, Lavoie, S, Smesny, S, Rice, S M, Schäfer, M R, Benninger, F, Feucht, M, Klier, C M, McGorry, P D, Amminger, G P
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5048208/
https://www.ncbi.nlm.nih.gov/pubmed/27648919
http://dx.doi.org/10.1038/tp.2016.170

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5048208/
https://www.ncbi.nlm.nih.gov/pubmed/27648919
http://dx.doi.org/10.1038/tp.2016.170

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