Development and validation of a screening model for dysphagia in the elderly based on acoustic features
The acoustic feature-based XGBoost model serves as an effective and automated tool for screening dysphagia risk in the elderly. It has the potential to assist healthcare professionals in identifying high-risk individuals for early intervention, thereby improving clinical outcomes.
Authors
- Shaomei Shang (ORCID: https://orcid.org/0000-0002-3913-4570)
- Wei Luo (ORCID: https://orcid.org/0009-0004-6580-1295)
- Dan Li (ORCID: https://orcid.org/0000-0002-3670-4056)
- Tao Liu (ORCID: https://orcid.org/0000-0003-2183-8366)
- Xiaoyan Jin (ORCID: https://orcid.org/0000-0003-3887-4769)
- Xu Dong
- Hongmei Song (ORCID: https://orcid.org/0000-0002-8369-310X)
Institutions
- Peking University (CN)
Publication Details
- Journal
- Frontiers in Medicine
- Published
- 2025-12-08
- DOI
- https://doi.org/10.3389/fmed.2025.1719174
- Primary Topic
- Dysphagia Assessment and Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00