Machine learning-driven model for predicting knowledge, attitudes, and practices regarding medication safety among residents in Hubei, China
Residents of Hubei have a fundamental grasp of medication safety but also harbor certain misconceptions. Effective pharmaceutical science communication should take into account the characteristics of the residents and the identified risk factors.
Authors
- Tao Zhou (ORCID: https://orcid.org/0000-0002-0238-2757)
- Chao Mei (ORCID: https://orcid.org/0000-0002-9212-9746)
- Shi Chen (ORCID: https://orcid.org/0000-0002-2316-111X)
- Sanlan Wu
- Wei-Jing Gong
- Yu Zhang (ORCID: https://orcid.org/0009-0006-6388-2479)
- Yongning Lv
Institutions
- Union Hospital (HK)
- Huazhong University of Science and Technology (CN)
Publication Details
- Journal
- Frontiers in Public Health
- Published
- 2025-06-02
- DOI
- https://doi.org/10.3389/fpubh.2025.1574531
- Citations
- 1
- Primary Topic
- Pharmaceutical Practices and Patient Outcomes
- Type
- article
- Field-Weighted Citation Impact
- 1.22
Funders
- National Natural Science Foundation of China
- Chinese Pharmaceutical Association
- China International Medical Foundation