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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Autores principales: Silvan Hornstein, Valerie Forman-Hoffman, Albert Nazander, Kristian Ranta, Kevin Hilbert
Formato: article
Lenguaje:EN
Publicado: SAGE Publishing 2021
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Acceso en línea:https://doaj.org/article/a1c87f1e7a2d4da89785a980cb563b2c
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