Congruency of multimodal data-driven personalization with shared decision-making for StayFine: individualized app-based relapse prevention for anxiety and depression in young people

BibTeX

@article{allodium:6bcc2405bf7f46a0,
  title = {Congruency of multimodal data-driven personalization with shared decision-making for StayFine: individualized app-based relapse prevention for anxiety and depression in young people},
  author = {Bas Kooiman and Suzanne J. Robberegt and Casper J. Albers and Claudi Bockting and Yvonne Stikkelbroek and Maaike H. Nauta},
  year = {2023},
  journal = {PubMed Central},
  doi = {10.3389/fpsyt.2023.1229713},
  url = {https://doi.org/10.3389/fpsyt.2023.1229713}
}

RIS

TY  - JOUR
TI  - Congruency of multimodal data-driven personalization with shared decision-making for StayFine: individualized app-based relapse prevention for anxiety and depression in young people
AU  - Kooiman, Bas
AU  - Robberegt, Suzanne J.
AU  - Albers, Casper J.
AU  - Bockting, Claudi
AU  - Stikkelbroek, Yvonne
AU  - Nauta, Maaike H.
PY  - 2023
PB  - PubMed Central
DO  - 10.3389/fpsyt.2023.1229713
UR  - https://doi.org/10.3389/fpsyt.2023.1229713
ER  - 

APA

Kooiman, B., Robberegt, S. J., Albers, C. J., Bockting, C., Stikkelbroek, Y., & Nauta, M. H. (2023). Congruency of multimodal data-driven personalization with shared decision-making for StayFine: individualized app-based relapse prevention for anxiety and depression in young people. PubMed Central. https://doi.org/10.3389/fpsyt.2023.1229713