T21. DEVELOPMENT OF PROTEOMIC PREDICTION MODELS FOR OUTCOMES IN THE CLINICAL HIGH RISK STATE AND PSYCHOTIC EXPERIENCES IN ADOLESCENCE: MACHINE LEARNING ANALYSES IN TWO NESTED CASE-CONTROL STUDIES

BACKGROUND: Individuals at clinical high risk (CHR) of psychosis have an approximately 20% probability of developing psychosis within 2 years, as well as an associated risk of non-psychotic disorders and functional impairment. People with subclinical psychotic experiences (PEs) are also at risk of f...

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Detalles Bibliográficos
Autores principales: Mongan, David, Föcking, Melanie, Healy, Colm, Raj Susai, Subash, Cagney, Gerard, Cannon, Mary, Zammit, Stanley, Nelson, Barnaby, McGorry, Patrick, Nordentoft, Merete, Krebs, Marie-Odile, Riecher-Rössler, Anita, Bressan, Rodrigo, Barrantes-Vidal, Neus, Borgwardt, Stefan, Ruhrmann, Stephan, Sachs, Gabriele, Van der Gaag, Mark, Rutten, Bart, Pantelis, Christos, De Haan, Lieuwe, Valmaggia, Lucia, Kempton, Matthew, McGuire, Philip, Cotter, David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Poster Session III
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7234235/
http://dx.doi.org/10.1093/schbul/sbaa029.581

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7234235/
http://dx.doi.org/10.1093/schbul/sbaa029.581

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