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An XGBoost‐Based Multicenter Model for Predicting HBV‐Related Hepatocellular Carcinoma: Development and Validation

ABSTRACT Background The 5‐year survival rate for hepatocellular carcinoma (HCC) is stage‐dependent, yet existing models lack accuracy in predicting hepatitis B virus‐associated HCC (HBV‐HCC). We therefore aimed to develop and validate an interpretable machine learning (ML) model integrating multidim...

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Principais autores: Yong Lin, Hai‐Yan Zhuo, Hui‐Wen Song, Li‐Na Zhou, Mei‐Zhu Hong, Chun Lin, Peng‐Fei Guo, Jin‐Shui Pan
פורמט: Artigo
שפה:Inglês
יצא לאור: Wiley 2026-05-01
סדרה:Cancer Medicine
נושאים:
hepatitis B virus
hepatocellular carcinoma
machine learning
predictive model
גישה מקוונת:https://doi.org/10.1002/cam4.71887
תגים: הוספת תג
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