Article

Prognostic predictions in psychosis: exploring the complementary role of machine learning models

2025-02-02

Abstract excerpt

<h4>ABSTRACT</h4> <h4>BACKGROUND</h4> Predicting outcomes in schizophrenia spectrum disorders is challenging due to the variability of individual trajectories. While machine learning (ML) shows promise in outcome prediction, is has not yet been integrated into clinical practice. Understanding how ML models (MLMs) can complement psychiatrists’ predictions and bridge the gap between MLM capabilities and practical us...

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Literature Corpus work: 3d797592-a254-577e-8dce-057adade8aa2
DOI: 10.1101/2025.01.30.25321382

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