Multimodal Machine Learning-Based Prediction of Relapse in Major Depressive Disorder

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23 Oct 2026 0 comments

CONCLUSIONS AND RELEVANCE: In this prognostic study, the models achieved moderate accuracy, yet the results suggest limited scope for guiding individual-level clinical decision-making. Predictive performance was largely driven by established clinical risk factors, indicating limited incremental value of multimodal measures when assessed at a single time point. Future advances may instead benefit from dynamic modeling approaches that more closely align temporally evolving multimodal markers with...