Predictive model establishment for forward-head posture disorder in primary-school-aged children based on multiple machine learning algorithms
The random forest-based prediction model achieved superior predictive accuracy for forward head posture among Chinese primary school children, emphasizing the importance of monitoring BMI, bodyweight, and age for early intervention and prevention efforts.
Authors
- Ruixuan Yu (ORCID: https://orcid.org/0000-0003-4866-2479)
- Honghua Tao (ORCID: https://orcid.org/0000-0002-6044-3925)
- Yining Xu (ORCID: https://orcid.org/0000-0002-8357-9710)
- Wen Yang (ORCID: https://orcid.org/0000-0001-8769-7370)
- Fuxun Yu (ORCID: https://orcid.org/0000-0001-8804-2755)
Institutions
- Ningbo University (CN)
- Anhui Jianzhu University (CN)
- Nanjing Sport Institute (CN)
- Ningbo Science and Technology Bureau (CN)
- Ningbo College of Health Sciences (CN)
Publication Details
- Journal
- Frontiers in Bioengineering and Biotechnology
- Published
- 2025-05-30
- DOI
- https://doi.org/10.3389/fbioe.2025.1607419
- Citations
- 1
- Primary Topic
- Occupational Health and Performance
- Type
- article
- Field-Weighted Citation Impact
- 5.77