Explainable machine learning framework to predict the risk of work-related neck and shoulder musculoskeletal disorders among healthcare professionals
This study successfully constructs work-related musculoskeletal disorder risk prediction models for healthcare professionals, enabling a quantitative analysis of the impact of occupational factors. This advancement is beneficial for future economical and convenient work-related musculoskeletal disorder screening in healthcare professions.
Authors
- Chi Pui Tang
- Xiulan Zhang (ORCID: https://orcid.org/0000-0002-9288-0767)
- Zeyuan Zhang (ORCID: https://orcid.org/0009-0001-2619-6502)
- Xuanyi Wang (ORCID: https://orcid.org/0000-0001-6398-9184)
- Na Luo (ORCID: https://orcid.org/0000-0002-9518-8098)
- Xinyi Xu (ORCID: https://orcid.org/0000-0003-2812-6660)
- Jingyu Huang (ORCID: https://orcid.org/0000-0001-9591-9981)
- Pinghua Zhu
- Suyi Liu (ORCID: https://orcid.org/0000-0002-9400-7208)
- Qiong Tan (ORCID: https://orcid.org/0000-0003-2452-1161)
- Yishuang Pan
- Biling Jiang
- Siyi Bai
Institutions
- Guangxi Medical University (CN)
- Guangxi Center for Disease Prevention and Control (CN)
Publication Details
- Journal
- Frontiers in Public Health
- Published
- 2024-08-20
- DOI
- https://doi.org/10.3389/fpubh.2024.1414209
- Citations
- 6
- Primary Topic
- Musculoskeletal pain and rehabilitation
- Type
- article
- Field-Weighted Citation Impact
- 2.69