Predicting Success of a Digital Self-Help Intervention for Alcohol and Substance Use With Machine Learning

BACKGROUND: Digital self-help interventions for reducing the use of alcohol tobacco and other drugs (ATOD) have generally shown positive but small effects in controlling substance use and improving the quality of life of participants. Nonetheless, low adherence rates remain a major drawback of these...

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Detalles Bibliográficos
Autores principales: Ramos, Lucas A., Blankers, Matthijs, van Wingen, Guido, de Bruijn, Tamara, Pauws, Steffen C., Goudriaan, Anneke E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Psychology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8451420/
https://www.ncbi.nlm.nih.gov/pubmed/34552539
http://dx.doi.org/10.3389/fpsyg.2021.734633

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8451420/
https://www.ncbi.nlm.nih.gov/pubmed/34552539
http://dx.doi.org/10.3389/fpsyg.2021.734633

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