This repository contains a dataset used in a simulation testbed constructed based on data from a Roadmap 2.0 study.
If you utilize this data in your research, please cite the following reference:
Rozwadowski, M., Dittakavi, M., Mazzoli, A., Hassett, A. L., Braun, T., Barton, D. L., ... & Choi, S. W. (2020). Promoting health and well-being through mobile health technology (Roadmap 2.0) in family caregivers and patients undergoing hematopoietic stem cell transplantation: protocol for the development of a mobile randomized controlled trial. JMIR Research Protocols, 9(9), e19288.
BibTex:
@article{rozwadowski2020promoting,
title={Promoting health and well-being through mobile health technology (Roadmap 2.0) in family caregivers and patients undergoing hematopoietic stem cell transplantation: protocol for the development of a mobile randomized controlled trial},
author={Rozwadowski, Michelle and Dittakavi, Manasa and Mazzoli, Amanda and Hassett, Afton L and Braun, Thomas and Barton, Debra L and Carlozzi, Noelle and Sen, Srijan and Tewari, Muneesh and Hanauer, David A and others},
journal={JMIR Research Protocols},
volume={9},
number={9},
pages={e19288},
year={2020},
publisher={JMIR Publications Inc., Toronto, Canada}
}
- Reinforcement Learning
- Li S., Salvat Niell L., Choi S. W., Nahum-Shani I., Shani G., Murphy S. (2023). Dyadic Reinforcement Learning. arXiv preprint arXiv:2308.07843.
- This dataset is constructed based on a study focusing on Roadmap 2.0, which is a care partner-facing mobile health application.
- After processing, the dataset consists of data from 49 dyads across 14 weeks.
- Linear models are fitted on the daily and weekly variables; the resulting coefficients, residuals, and initial values of the variables are included in the dataset.
- See documentation for a detailed description of the dataset.