Development and Evaluation of an Optimal Machine Learning Model for Predicting Nutritional Risk in Nasopharyngeal Carcinoma Patients: A Cross-Sectional Study
This study highlights the added value of combining clinical data and machine learning to identify both key predictors and their optimal ranges for nutritional risk.
Authors
- Chang Gao (ORCID: https://orcid.org/0000-0003-2776-7087)
- Lian X. Liu (ORCID: https://orcid.org/0000-0003-2230-2934)
- Peijuan Chen
- Lili Zhang (ORCID: https://orcid.org/0000-0002-9341-5832)
- Lu Zhang (ORCID: https://orcid.org/0009-0001-0784-6047)
- Benxiang Zhu
Institutions
- Nanfang Hospital (CN)
- Southern Medical University (CN)
Publication Details
- Journal
- Nutrition and Cancer
- Published
- 2025-11-24
- DOI
- https://doi.org/10.1080/01635581.2025.2591494
- Primary Topic
- Nutrition and Health in Aging
- Type
- article
- Field-Weighted Citation Impact
- 0.00