Ethical aspects and user preferences in applying machine learning to adjust eHealth addressing substance use: A mixed-methods study
This mixed-methods study revealed that users of digital intervention demonstrated limited concern for ethical aspects regarding applying ML to adapt digital interventions. Ethical aspects were primarily pertained to their needs for autonomy and privacy.
Authors
- Marloes E. Derksen (ORCID: https://orcid.org/0000-0003-0372-7021)
- Matthijs Blankers (ORCID: https://orcid.org/0000-0002-8821-3312)
- Tamara de Bruijn
- Anna E. Goudriaan (ORCID: https://orcid.org/0000-0001-8670-9384)
- Max van Beek (ORCID: https://orcid.org/0000-0002-6188-4984)
- Floor Stuit
Institutions
- Amsterdam Institute for Addiction Research (NL)
- Trimbos Institute (NL)
- Jellinek (NL)
- Public Health Service of Amsterdam (NL)
- Reinier van Arkel (NL)
Publication Details
- Journal
- International Journal of Medical Informatics
- Published
- 2025-03-23
- DOI
- https://doi.org/10.1016/j.ijmedinf.2025.105897
- Citations
- 1
- Primary Topic
- Digital Mental Health Interventions
- Type
- article
- Field-Weighted Citation Impact
- 1.54
Funders
- ZonMw