Detection of Posttraumatic Stress Disorder With Rest-Activity Data: Machine Learning Approach Using Wearable and Self-Report Data
- DOI
- 10.2196/86025
- Published
- 2026-05-19
- Container
- JMIR Formative Research
- Publisher
- JMIR Publications Inc.
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.2196/86025,
title = {Detection of Posttraumatic Stress Disorder With Rest-Activity Data: Machine Learning Approach Using Wearable and Self-Report Data},
author = {Katherine Wislocki and Ghazal Naderi and Jessica L Borelli and Mark Pollack and Douglas A Granger and David P Cenkner and Margaret Canady and Helen J Burgess and Alyson K Zalta},
year = {2026},
journal = {JMIR Formative Research},
doi = {10.2196/86025},
url = {https://doi.org/10.2196/86025}
}RIS
TY - JOUR TI - Detection of Posttraumatic Stress Disorder With Rest-Activity Data: Machine Learning Approach Using Wearable and Self-Report Data AU - Katherine Wislocki AU - Ghazal Naderi AU - Jessica L Borelli AU - Mark Pollack AU - Douglas A Granger AU - David P Cenkner AU - Margaret Canady AU - Helen J Burgess AU - Alyson K Zalta PY - 2026 JO - JMIR Formative Research DO - 10.2196/86025 UR - https://doi.org/10.2196/86025 ER -
APA
Wislocki, K., Naderi, G., Borelli, J. L., Pollack, M., Granger, D. A., Cenkner, D. P., Canady, M., Burgess, H. J., & Zalta, A. K. (2026). Detection of Posttraumatic Stress Disorder With Rest-Activity Data: Machine Learning Approach Using Wearable and Self-Report Data. JMIR Formative Research. https://doi.org/10.2196/86025
Source records
- crossref · retrieved 2026-09-27T05:25:22.663Z