An interpretable machine learning model for predicting early liver metastasis after pancreatic cancer surgery

An interpretable machine learning model for predicting early liver metastasis after pancreatic cancer surgery

Abstract Background Liver metastasis is the most frequent site of distant metastasis in pancreatic ductal adenocarcinoma (PDAC), significantly contributing to poor prognosis. This study aims to develop and validate a machine learning (ML) model for predicting early liver metastasis (ELM) following p...

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Bibliographic Details
Main Authors: Hao Zhu, Yiyan Zhou, Danyang Shen, Kejia Wu, Xiaojie Gan, Xiaofeng Xue, Weigang Zhang, Xiaohua Yang, Junyi Qiu, Ding Sun
Format: Article
Language:English
Published: BMC 2025-07-01
Series:BMC Cancer
Subjects:
Prediction model
Pancreatic cancer
Machine learning
Early liver metastasis
PDAC
Online Access:https://doi.org/10.1186/s12885-025-14503-3
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https://doi.org/10.1186/s12885-025-14503-3

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