Machine learning model using immune indicators to predict outcomes in early liver cancer
A non-invasive, cost-effective ML-based model was developed to assist clinicians in identifying high-risk early-stage HCC patients with poor postoperative prognosis following surgical resection.
Authors
- Ke Shi (ORCID: https://orcid.org/0000-0002-8019-7688)
- Yi Zhang (ORCID: https://orcid.org/0000-0002-5388-9574)
- Ying Feng
- Xianbo Wang
Institutions
- Capital Medical University (CN)
- Beijing Ditan Hospital (CN)
Publication Details
- Journal
- World Journal of Gastroenterology
- Published
- 2024-12-30
- DOI
- https://doi.org/10.3748/wjg.v31.i5.101722
- Citations
- 2
- Primary Topic
- Liver Disease Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.77
Funders
- National Natural Science Foundation of China