Nutritional management adherence via an ePRO platform in patients with cancer: a machine learning model studyResearch in context

Nutritional management adherence via an ePRO platform in patients with cancer: a machine learning model studyResearch in context

Summary: Background: Electronic patient-reported outcome (ePRO) systems have significant potential for providing individualized and continuous nutritional management for patients with cancer. However, adherence to ePRO-guided nutritional interventions varies significantly, and the key factors assoc...

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Main Authors: Si-Wei Xie, Jia-Xin Huang, Hui-Min Qu, Zhi-Gang Feng, Xin-Yi Wang, Zhen-Guang Du, Ming-Hui Zhang, Shu-Qing Wei, Jun Li, Li-Li Hong, Li-Li Wang, Jing-Hui Bai, Kai-Feng Wang, Xue-Bang Zhang, Xian Shen, Xiao-Dong Chen, Le Tian, Xi Zhang, Min Yang, Ning Li, Meng Tang, Chen-Xin Song, Bao-Hua Zou, Sheng-Ling Qin, Rong Qin, Ming-Hua Cong
Format: Article
Language:English
Published: Elsevier 2025-07-01
Series:EClinicalMedicine
Subjects:
Digital health
Machine learning
Electronic patient-reported outcome
Nutritional management
Cancer
Online Access:http://www.sciencedirect.com/science/article/pii/S2589537025002627
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