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A logistic regression model predicts early recovery in first-episode psychosis, suggesting a practical approach for treatment.
A simple, interpretable logistic regression model based on routine clinical and cognitive variables can predict early recovery in FEP with acceptable generalisability. These findings support the use of transparent, clinically grounded models in early psychosis care and highlight the current limitations of genetic predictors for individualised treatment.
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Julià et al. (2026) studied this question.
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