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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...
Autores principales: | Ramos, Lucas A., Blankers, Matthijs, van Wingen, Guido, de Bruijn, Tamara, Pauws, Steffen C., Goudriaan, Anneke E. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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Materias: | |
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 |
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