Comparative study of XGBoost and logistic regression for predicting sarcopenia in postsurgical gastric cancer patients

Comparative study of XGBoost and logistic regression for predicting sarcopenia in postsurgical gastric cancer patients

Abstract The use of machine learning (ML) techniques, particularly XGBoost and logistic regression, to predict sarcopenia among postsurgical gastric cancer patients has gained significant attention in recent research. Sarcopenia, characterized by the progressive loss of skeletal muscle mass and stre...

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Bibliographic Details
Main Authors: Yajing Gu, Shu Su, Xianping Wang, Juanjuan Mao, Xuan Ni, Ai Li, Yueli Liang, Xing Zeng
Format: Article
Language:English
Published: Nature Portfolio 2025-04-01
Series:Scientific Reports
Subjects:
Gastric cancer
Risk prediction
Independent risk factors
Lasso plot
Machine learning
Online Access:https://doi.org/10.1038/s41598-025-98075-z
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