Machine Learning Prognostic Model for Post-Radical Resection Hepatocellular Carcinoma in Hepatitis B Patients
The study highlights the importance of BMI, ALB, SRM, and AJCC staging in predicting HBV-related HCC outcomes. The machine learning model aids clinicians in making better treatment decisions, potentially enhancing patient outcomes.
Authors
- Chang Liu
- Abuduhaiwaier Abuduhelili
- Renyong Lin (ORCID: https://orcid.org/0000-0001-6210-4719)
- Tuerganaili Aji (ORCID: https://orcid.org/0000-0001-6737-8874)
- Yu‐Hsuan Lin (ORCID: https://orcid.org/0000-0001-5311-0623)
- Alimu Tulahong
- Tiemin Jiang (ORCID: https://orcid.org/0000-0001-6582-5773)
- Dalong Zhu (ORCID: https://orcid.org/0000-0002-1064-1261)
- Yingmei Shao
- Ayinuer Aierken
Institutions
- Xinjiang Medical University (CN)
- First Affiliated Hospital of Xinjiang Medical University (CN)
- People's Hospital of Xinjiang Uygur Autonomous Region (CN)
Publication Details
- Journal
- Journal of Hepatocellular Carcinoma
- Published
- 2025-02-01
- DOI
- https://doi.org/10.2147/jhc.s495059
- Citations
- 3
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 4.08
Funders
- Natural Science Foundation of Xinjiang