Explainable machine learning model for predicting the transarterial chemoembolization response and subtypes of hepatocellular carcinoma patients

Explainable machine learning model for predicting the transarterial chemoembolization response and subtypes of hepatocellular carcinoma patients

Abstract Background Hepatocellular carcinoma (HCC), the third leading cause of cancer-related deaths globally, faces heterogeneous responses to transarterial chemoembolization (TACE) in intermediate-stage disease. We developed a Machine Learning (ML)-based model integrating routine clinical variable...

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Bibliographic Details
Main Authors: Yunjie Zhang, Songjian Tong, Junhui Yang, Jiawei Lin, Yifan Kong, Deyu Lu, Yan Chen, Yingchao Li, Linfeng Xu, Xiuyan Kong, Guoqing Zhu, Hao Zhang, Pixu Liu, Zhijie Yu, Jinglin Xia
Format: Article
Language:English
Published: BMC 2025-07-01
Series:BMC Gastroenterology
Subjects:
Hepatocellular carcinoma (HCC)
Transarterial chemoembolization (TACE)
Machine learning
Prognostic model
Online Access:https://doi.org/10.1186/s12876-025-04105-5
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