Developing a Behavioral Phenotyping Layer for Artificial Intelligence–Driven Predictive Analytics in a Digital Resiliency Course: Protocol for a Randomized Controlled Trial

Trevor van Mierlo, Rachel Fournier, Siu Kit Yeung, Sofiia Lahutina

Open source

DOI
10.2196/73773
Published
2025-08-06
Container
JMIR Research Protocols
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:10.2196/73773,
  title = {Developing a Behavioral Phenotyping Layer for Artificial Intelligence–Driven Predictive Analytics in a Digital Resiliency Course: Protocol for a Randomized Controlled Trial},
  author = {Trevor van Mierlo and Rachel Fournier and Siu Kit Yeung and Sofiia Lahutina},
  year = {2025},
  journal = {JMIR Research Protocols},
  doi = {10.2196/73773},
  url = {https://doi.org/10.2196/73773}
}

RIS

TY  - JOUR
TI  - Developing a Behavioral Phenotyping Layer for Artificial Intelligence–Driven Predictive Analytics in a Digital Resiliency Course: Protocol for a Randomized Controlled Trial
AU  - Trevor van Mierlo
AU  - Rachel Fournier
AU  - Siu Kit Yeung
AU  - Sofiia Lahutina
PY  - 2025
JO  - JMIR Research Protocols
DO  - 10.2196/73773
UR  - https://doi.org/10.2196/73773
ER  - 

APA

Mierlo, T. V., Fournier, R., Yeung, S. K., & Lahutina, S. (2025). Developing a Behavioral Phenotyping Layer for Artificial Intelligence–Driven Predictive Analytics in a Digital Resiliency Course: Protocol for a Randomized Controlled Trial. JMIR Research Protocols. https://doi.org/10.2196/73773

Source records