Prognostic Analysis of Elderly Patients with Hepatocellular Carcinoma: an Exploration and Machine Learning Model Prediction Based on Age Stratification and Surgical Approach
The LASSO+RSF model provides validated tools for personalized prognosis management in elderly HCC patients, emphasizing age-adapted surgical strategies and comorbidity-focused perioperative care.
Authors
- Yameng Ren (ORCID: https://orcid.org/0000-0002-9362-9988)
- Liancai Wang
- Deyu Li (ORCID: https://orcid.org/0000-0001-8364-0924)
- Hui Zhu (ORCID: https://orcid.org/0000-0003-2289-5995)
- Jizhen Li (ORCID: https://orcid.org/0000-0002-8944-6353)
- Yuqi Guo (ORCID: https://orcid.org/0000-0002-5494-3181)
- Bingyao Li
- Chiyu Cai (ORCID: https://orcid.org/0009-0008-2224-2824)
- Dongxiao Li
- C. Tang
Institutions
- Henan Provincial People's Hospital (CN)
- Zhengzhou People's Hospital (CN)
Publication Details
- Journal
- Journal of Hepatocellular Carcinoma
- Published
- 2025-04-01
- DOI
- https://doi.org/10.2147/jhc.s512410
- Citations
- 1
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 1.36
Funders
- National Natural Science Foundation of China