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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Auteurs principaux: | 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 |
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Format: | article |
Langue: | EN |
Publié: |
Nature Portfolio
2021
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Accès en ligne: | https://doaj.org/article/c0a120a59e46409f9c9e2a8a2725decb |
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