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...

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Bibliographic Details

Published in:	Nutrition & Cancer Vol. 78; no. 2; pp. 169 - 181
Main Authors:	Zhu, Benxiang, Gao, Chang, Chen, Peijuan, Zhang, Lu, Liu, Lian, Zhang, Lili
Format:	research tables/charts Journal Article
Published:	Taylor & Francis Ltd 2026
Online Access:	View this record in EBSCOhost