Predicting therapy outcome in a digital mental health intervention for depression and anxiety: A machine learning approach

Objective Predicting the outcomes of individual participants for treatment interventions appears central to making mental healthcare more tailored and effective. However, little work has been done to investigate the performance of machine learning-based predictions within digital mental health inter...

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Auteurs principaux: Silvan Hornstein, Valerie Forman-Hoffman, Albert Nazander, Kristian Ranta, Kevin Hilbert
Format: article
Langue:EN
Publié: SAGE Publishing 2021
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Accès en ligne:https://doaj.org/article/a1c87f1e7a2d4da89785a980cb563b2c
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