Tongue image analysis for accurate prediction of nutritional risk screening in cancer patients during radiochemotherapy: a feature selection network and aliasing attention mechanism approach
We successfully developed and validated an NRS2002 nutritional risk prediction model based on tongue image characteristics. This tool has the potential to minimize human error, improve dynamic performance, and provide non-invasive, accurate nutritional risk screening. It represents a step forward in personalized medicine and holds substantial clinical value.
Authors
- Suzhen Guan (ORCID: https://orcid.org/0009-0004-9626-8884)
- Shuying S. Li (ORCID: https://orcid.org/0000-0001-9045-699X)
- Qiao Xu (ORCID: https://orcid.org/0000-0002-1844-4975)
- Chang Liu
- Bowen Yang
- Henan Zhang
- Aohan Li
- HuaiDong Li
- Abdul Haleem Mohib
- Shasha Zhao
- Cong Wang
- Yukun Zhang
Institutions
- Tongji University (CN)
- Shandong University (CN)
- Hong Kong Institute of Vocational Education (CN)
- Shanghai Pulmonary Hospital (CN)
- Qilu Hospital of Shandong University (CN)
- Technological and Higher Education Institute of Hong Kong (HK)
Publication Details
- Journal
- Frontiers in Nutrition
- Published
- 2026-01-12
- DOI
- https://doi.org/10.3389/fnut.2025.1752250
- Primary Topic
- Nutritional Studies and Diet
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China