Individualized prediction of three- and six-year outcomes of psychosis in a longitudinal multicenter study: a machine learning approach

Individualized prediction of three- and six-year outcomes of psychosis in a longitudinal multicenter study: a machine learning approach

Abstract Schizophrenia and related disorders have heterogeneous outcomes. Individualized prediction of long-term outcomes may be helpful in improving treatment decisions. Utilizing extensive baseline data of 523 patients with a psychotic disorder and variable illness duration, we predicted symptomat...

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Autores principales: Jessica de Nijs, Thijs J. Burger, Ronald J. Janssen, Seyed Mostafa Kia, Daniël P. J. van Opstal, Mariken B. de Koning, Lieuwe de Haan, GROUP investigators, Wiepke Cahn, Hugo G. Schnack
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
Materias:
Psychiatry
RC435-571
Acceso en línea:https://doaj.org/article/c0a120a59e46409f9c9e2a8a2725decb
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