A Machine-Learning Based Approach for Predicting Older Adults' Adherence to Technology-Based Cognitive Training.
Zhe He|Shubo Tian|Ankita Singh|Shayok Chakraborty|Shenghao Zhang|Mia Liza A. Lustria|Neil Charness|Nelson A. Roque|Erin Harrell|Walter R. Boot
| Anthology ID: | DBLP:journals/ipm/HeTSCZLCRHB22 |
|---|---|
| Year: | 2022 |
| Venue: | Information Processing and Management |
| Pages: | 103034 |
| URL: | https://doi.org/10.1016/J.IPM.2022.103034 |
| DOI: | https://doi.org/10.1016/J.IPM.2022.103034 |
| DBLP: | journals/ipm/HeTSCZLCRHB22 |
| BibTeX: |
@article{he-2022-machinelearning,
author = {Zhe He and
Shubo Tian and
Ankita Singh and
Shayok Chakraborty and
Shenghao Zhang and
Mia Liza A. Lustria and
Neil Charness and
Nelson A. Roque and
Erin Harrell and
Walter R. Boot},
title = {{A Machine-Learning Based Approach for Predicting Older Adults' Adherence to Technology-Based Cognitive Training}},
journal = {Information Processing and Management},
volume = {59},
number = {5},
pages = {103034},
year = {2022},
url = {https://doi.org/10.1016/J.IPM.2022.103034},
doi = {https://doi.org/10.1016/J.IPM.2022.103034}
}