Development and validation of a machine learning model for predicting pulmonary metastasis in hepatocellular carcinoma patients

Development and validation of a machine learning model for predicting pulmonary metastasis in hepatocellular carcinoma patients

Abstract Background Hepatocellular carcinoma with pulmonary metastasis (HCC-PM) is a common complication of hepatocellular carcinoma (HCC) and has gained increasing attention. However, there is currently no effective model for predicting the risk of HCC-PM in patients with HCC. This study aims to de...

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Bibliographic Details
Main Authors: Gangfeng Zhu, Qiang Yi, Rui Xu, Yi Xie, Siying Chen, Yipeng Song, Yi Xiang, Xiangcai Wang, Li Huang
Format: Article
Language:English
Published: Springer 2025-08-01
Series:Discover Oncology
Subjects:
Hepatocellular carcinoma
Pulmonary metastasis
Machine learning
Risk prediction model
Shapley additive explanations
Online Access:https://doi.org/10.1007/s12672-025-03353-x
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https://doi.org/10.1007/s12672-025-03353-x

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