Predictive modeling of breast cancer-related lymphedema using machine learning algorithms

Breast cancer-related lymphedema (BCRL) is one of the common complications after breast cancer surgery. It can easily lead to limb swelling, deformation and upper limb dysfunction, which has a serious impact on the physical and mental health and quality of life of patients. Previous studies have mos...

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Veröffentlicht in:	Gland surgery Jg. 13; H. 12; S. 2243
Hauptverfasser:	Sun, Yang, Xia, Xiaomin, Liu, Xia
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	China (Republic : 1949- ) 31.12.2024
Schlagworte:	Breast cancer machine learning (ML) predictive model eXtreme Gradient Boosting algorithms (XGBoost algorithms) breast cancer-related lymphedema (BCRL)
ISSN:	2227-684X
Online-Zugang:	Weitere Angaben
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