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

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

BackgroundDigital 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 d...

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Bibliographic Details
Main Authors: Lucas A. Ramos, Matthijs Blankers, Guido van Wingen, Tamara de Bruijn, Steffen C. Pauws, Anneke E. Goudriaan
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-09-01
Series:Frontiers in Psychology
Subjects:
machine learning
eHealth
ATOD
Substance Use Disorder
addiction
log data analysis
Online Access:https://www.frontiersin.org/articles/10.3389/fpsyg.2021.734633/full

Internet

https://www.frontiersin.org/articles/10.3389/fpsyg.2021.734633/full

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