Bundled assessment to replace on-road test on driving function in stroke patients: a binary classification model via random forest
The bundled assessment, which includes cognitive, eye tracking, motor, and simulated driver performance, offers a potential indicator of whether stroke patients may be able to pass the on-road test. Furthermore, the established random forest classification model has demonstrated efficacy in predicting on-road test outcomes, which is worthy of further clinical application.
Authors
- Yu Zhang Jiao
- Shuyue Yu (ORCID: https://orcid.org/0000-0001-6967-7499)
- Yi Jiang (ORCID: https://orcid.org/0000-0002-5746-7301)
- Zhong-Liang Liu
- Xiaoqin Duan (ORCID: https://orcid.org/0000-0003-1078-2037)
- Tianqi Zhang (ORCID: https://orcid.org/0000-0002-6256-0877)
- Lu Huang (ORCID: https://orcid.org/0009-0007-8282-7982)
- M. Gao (ORCID: https://orcid.org/0009-0008-2580-6373)
- Guangyao Zhu (ORCID: https://orcid.org/0000-0002-2612-1308)
- Xin Liu (ORCID: https://orcid.org/0000-0002-3791-3984)
Institutions
- Jilin University (CN)
- Second Affiliated Hospital of Jilin University (CN)
- University of Science and Technology Beijing (CN)
Publication Details
- Journal
- Frontiers in Aging Neuroscience
- Published
- 2025-04-11
- DOI
- https://doi.org/10.3389/fnagi.2025.1503672
- Citations
- 1
- Primary Topic
- Older Adults Driving Studies
- Type
- article
- Field-Weighted Citation Impact
- 4.76