Development and Evaluation of an Optimal Machine Learning Model for Predicting Nutritional Risk in Nasopharyngeal Carcinoma Patients: A Cross-Sectional Study.
Aim: To develop a predictive model for nutritional risk in patients with nasopharyngeal carcinoma (NPC) and identify clinically meaningful ranges for key risk factors to guide early intervention. Methods: This study enrolled 520 patients with nasopharyngeal carcinoma (NPC) who underwent radiotherapy...
| Publicado en: | Nutrition & Cancer Vol. 78; no. 2; pp. 169 - 181 |
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| Autores principales: | , , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Taylor & Francis Ltd
2026
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| Acceso en línea: | Ver este registro en EBSCOhost |