Analysis of Machine Learning–Based Investigation Into Multivariate Factors of Team Performance in Serious Games: Cross-Sectional Retrospective Study

Gruyff Germain Abdul-Rahman, Freark de Lange, Andrej Zwitter, Noman Haleem

Open source

DOI
10.2196/83478
Published
2026-04-13
Container
JMIR Serious Games
Publisher
JMIR Publications Inc.
Open access
unknown

Credibility signals

uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.2196/83478,
  title = {Analysis of Machine Learning–Based Investigation Into Multivariate Factors of Team Performance in Serious Games: Cross-Sectional Retrospective Study},
  author = {Gruyff Germain Abdul-Rahman and Freark de Lange and Andrej Zwitter and Noman Haleem},
  year = {2026},
  journal = {JMIR Serious Games},
  doi = {10.2196/83478},
  url = {https://doi.org/10.2196/83478}
}

RIS

TY  - JOUR
TI  - Analysis of Machine Learning–Based Investigation Into Multivariate Factors of Team Performance in Serious Games: Cross-Sectional Retrospective Study
AU  - Gruyff Germain Abdul-Rahman
AU  - Freark de Lange
AU  - Andrej Zwitter
AU  - Noman Haleem
PY  - 2026
JO  - JMIR Serious Games
DO  - 10.2196/83478
UR  - https://doi.org/10.2196/83478
ER  - 

APA

Abdul-Rahman, G. G., Lange, F. D., Zwitter, A., & Haleem, N. (2026). Analysis of Machine Learning–Based Investigation Into Multivariate Factors of Team Performance in Serious Games: Cross-Sectional Retrospective Study. JMIR Serious Games. https://doi.org/10.2196/83478

Source records