Development and validation of machine learning models for distant metastasis of primary hepatic carcinoma: a population-based study

Development and validation of machine learning models for distant metastasis of primary hepatic carcinoma: a population-based study

Abstract Background Primary liver cancer is the sixth most common cancer globally and ranks third in cancer-related mortality. Patients with distant metastasis (PLCDM) have particularly low survival rates and are more difficult to treat. This study aims to identify risk factors associated with dista...

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Bibliographic Details
Main Authors: Cong Lu, Ying He, Chun-Ru Chen, Lun Wu, Dan Song, Chen-Hong Wang, Le-Qing Zhang, Jing-Yi Miao, Yong-Bin Zheng, Wei Wang
Format: Article
Language:English
Published: Springer 2025-06-01
Series:Discover Oncology
Subjects:
Machine learning
Primary liver cancer
Distant metastasis
SEER
Online Access:https://doi.org/10.1007/s12672-025-02894-5
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