Factors associated with acquiring exercise habits through health guidance for metabolic syndrome among middle-aged Japanese workers: A machine learning approach
Our findings can be used to establish an efficient strategy for encouraging individuals to acquire exercise habits through Specific Health Guidance or other health guidance. However, the lower ROC-AUC<sub>test</sub> suggests that additional variables are necessary to enhance the prediction model.
Authors
- Kazuyo Tsushita (ORCID: https://orcid.org/0000-0002-5755-9345)
- Yoshio Nakata (ORCID: https://orcid.org/0000-0002-0888-4440)
- Takeshi Onoue (ORCID: https://orcid.org/0000-0002-8589-9937)
- Kyohsuke Wakaba (ORCID: https://orcid.org/0000-0001-8713-9598)
- Jiawei Wan
Institutions
- University of Tsukuba (JP)
- Kagawa Nutrition University (JP)
- Jumonji University (JP)
- Nagoya University (JP)
Publication Details
- Journal
- Preventive Medicine Reports
- Published
- 2024-10-19
- DOI
- https://doi.org/10.1016/j.pmedr.2024.102915
- Primary Topic
- Artificial Intelligence in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Japan Agency for Medical Research and Development