Predicting postoperative malnutrition in patients with oral cancer: development of an XGBoost model with SHAP analysis and web-based application

BackgroundPostoperative malnutrition, which significantly affects recovery and overall quality of life, is a critical concern for patients with oral cancer. Timely identification of patients at nutritional risk is essential for implementing appropriate interventions, thereby improving postoperative...

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Bibliographic Details
Main Authors: Lixia Kuang, Jingya Yu, Yunyu Zhou, Yu Zhang, Guangman Wang, Fangmin Zhang, Grace Paka Lubamba, Xiaoqin Bi
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-05-01
Series:Frontiers in Oncology
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Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2025.1564459/full
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