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T107. INDIVIDUALIZED DIAGNOSTIC AND PROGNOSTIC MODELS FOR PATIENTS WITH PSYCHOSIS RISK SYNDROMES: A META-ANALYTIC VIEW ON THE STATE-OF-THE-ART

BACKGROUND: The Clinical High Risk (CHR) paradigm has led research into the biological and clinical underpinnings of the risk for psychosis, aiming at predicting and possibly preventing transition to the disorder. Statistical methods like machine learning (ML) and Cox proportional hazard regression...

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Detalhes bibliográficos
Publicado no:Schizophr Bull
Main Authors: Sanfelici, Rachele, Dwyer, Dominic, Antonucci, Linda A, Koutsouleris, Nikolaos
Formato: Artigo
Idioma:Inglês
Publicado em: Oxford University Press 2020
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7234672/
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/schbul/sbaa029.667
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