Machine learning for screening laryngopharyngeal reflux symptoms in college students: a cross-sectional study
Modifiable factors like fried food intake and meal timing are strongly linked to LPRS in students. The GA-Stacking model effectively identifies high-risk individuals for early intervention, highlighting the role of lifestyle changes and informing targeted health strategies.
Authors
- Dan Yu
- Jinzhang Cheng
- Haixian Guo
- Guoji Wang
- Shuang Li
Institutions
- Second Affiliated Hospital of Jilin University (CN)
- Changchun University of Technology (CN)
Publication Details
- Journal
- Annals of Medicine
- Published
- 2026-01-05
- DOI
- https://doi.org/10.1080/07853890.2025.2610063
- Primary Topic
- Gastroesophageal reflux and treatments
- Type
- article
- Field-Weighted Citation Impact
- 0.00