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L. Lorenzo-Luaces

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Open access Sep 2026

Leveraging machine learning to personalize depression treatment: A pre-registered study of 828 adults randomized to a digital single-session intervention or waitlist

Some digital single-session interventions (SSI) for depression appear effective, at least in youth, but not everyone benefits. The present study uses machine learning methods to develop a treatment matching algorithm for a digital SSI, the Common Elements Toolbox (COMET), versus a waitlist control. 828 adults with a cu...

E. Jardas, Jacqueline Howard, L. Lorenzo-Luaces · 0 citations

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