Responsible data selection method for algorithmic personalization of health apps: a case study on promoting mental health.

de Groot ECS, Gadiraju U, Kudina O, Keijsers L, Hillegers MHJ, Brinkman WP

Open source

DOI: 10.3389/fdgth.2026.1691697
Published: 2026
Container: Frontiers in digital health
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3389/fdgth.2026.1691697,
  title = {Responsible data selection method for algorithmic personalization of health apps: a case study on promoting mental health.},
  author = {de Groot ECS and Gadiraju U and Kudina O and Keijsers L and Hillegers MHJ and Brinkman WP},
  year = {2026},
  journal = {Frontiers in digital health},
  doi = {10.3389/fdgth.2026.1691697},
  url = {https://doi.org/10.3389/fdgth.2026.1691697}
}

RIS

TY  - JOUR
TI  - Responsible data selection method for algorithmic personalization of health apps: a case study on promoting mental health.
AU  - de Groot ECS
AU  - Gadiraju U
AU  - Kudina O
AU  - Keijsers L
AU  - Hillegers MHJ
AU  - Brinkman WP
PY  - 2026
JO  - Frontiers in digital health
DO  - 10.3389/fdgth.2026.1691697
UR  - https://doi.org/10.3389/fdgth.2026.1691697
ER  -

APA

ECS, D. G., U, G., O, K., L, K., MHJ, H., & WP, B. (2026). Responsible data selection method for algorithmic personalization of health apps: a case study on promoting mental health.. Frontiers in digital health. https://doi.org/10.3389/fdgth.2026.1691697

Source records

pubmed · retrieved 2026-11-10T10:16:32.042Z
europe-pmc · retrieved 2026-11-10T10:16:32.036Z
doaj · retrieved 2026-11-10T10:16:32.031Z