Machine learning based on alcohol drinking-gut microbiota-liver axis in predicting the occurrence of early-stage hepatocellular carcinoma
ML models based on the alcohol drinking-gut microbiota-liver axis are valuable in predicting the occurrence of early-stage HCC.
Authors
- Qing Su (ORCID: https://orcid.org/0000-0002-1073-3254)
- Jinhuan Yang (ORCID: https://orcid.org/0000-0003-2394-3266)
- Yi Wang (ORCID: https://orcid.org/0000-0002-0558-7491)
- Hao Zeng (ORCID: https://orcid.org/0000-0001-9609-183X)
- Zhiyuan Bo (ORCID: https://orcid.org/0000-0002-4691-1956)
- Yanjie Lian (ORCID: https://orcid.org/0000-0001-6623-2291)
- Juejin Wang
- Yi‐Hsin Yang (ORCID: https://orcid.org/0000-0002-9581-2778)
- Gang Chen
- Junxi Zhou
- Chong-ming Zheng
- Jingxian Wang (ORCID: https://orcid.org/0000-0002-9484-6570)
- Yimo Guo
- Yaqing Chen (ORCID: https://orcid.org/0009-0007-6308-5637)
- Bo Chen
Institutions
- Wenzhou Medical University (CN)
- First Affiliated Hospital of Wenzhou Medical University (CN)
- Women's Hospital, School of Medicine, Zhejiang University (CN)
- Second Affiliated Hospital of Zhejiang University (CN)
- Zhejiang Medicine (China) (CN)
Publication Details
- Journal
- BMC Cancer
- Published
- 2024-11-29
- DOI
- https://doi.org/10.1186/s12885-024-13161-1
- Citations
- 5
- Primary Topic
- Gut microbiota and health
- Type
- article
- Field-Weighted Citation Impact
- 1.17
Funders
- National Natural Science Foundation of China
- Medical Science and Technology Project of Zhejiang Province
- Science and Technology Program of Zhejiang Province