Machine learning models for predicting survival in patients of hepatocellular carcinoma with second primary malignancy
The RSF model is superior to the COXPH model and DeepSurv model in predicting the prognosis of HCC patients with second primary cancer, and can provide individualized prediction and interpretation, which facilitates personalized medicine.
Authors
- Ruiyang Wang (ORCID: https://orcid.org/0000-0002-6800-5698)
- Runjie Sun (ORCID: https://orcid.org/0000-0001-6924-4140)
- Xing Cui (ORCID: https://orcid.org/0000-0002-8771-5898)
- Liyuan Wang (ORCID: https://orcid.org/0000-0003-0681-8842)
- B. Li (ORCID: https://orcid.org/0000-0002-1974-2229)
- Mengting Xia
- Yu Nie
- Yuanyuan Wang
- Xutong Lv
- Lu Nie
Institutions
- Shandong University of Traditional Chinese Medicine (CN)
- Affiliated Hospital of Shandong University of Traditional Chinese Medicine (CN)
- Jinzhou Medical University (CN)
Publication Details
- Journal
- Translational Cancer Research
- Published
- 2025-10-01
- DOI
- https://doi.org/10.21037/tcr-2025-589
- Primary Topic
- Multiple and Secondary Primary Cancers
- Type
- article
- Field-Weighted Citation Impact
- 0.00