Improved diagnostic efficiency of CRC subgroups revealed using machine learning based on intestinal microbes
These results indicate that the divided CRC subgroups can improve the efficiency of disease diagnosis, with various microbial composition in the subgroups.
Authors
- Jiayin Wang (ORCID: https://orcid.org/0000-0002-3862-6557)
- Cheng Kong (ORCID: https://orcid.org/0000-0002-3698-991X)
- Xiaoyan Zhu (ORCID: https://orcid.org/0009-0005-5947-9399)
- Yanlei Ma (ORCID: https://orcid.org/0000-0002-0632-5258)
- Lili Su (ORCID: https://orcid.org/0009-0002-1560-6729)
- Guang Liu (ORCID: https://orcid.org/0009-0000-8582-9624)
- Liang Huang (ORCID: https://orcid.org/0000-0002-8408-0049)
- Xuanping Zhang
Institutions
- Shanghai Medical College of Fudan University (CN)
- Fudan University Shanghai Cancer Center (CN)
- Guangdong Provincial Hospital of Traditional Chinese Medicine (CN)
- Guangzhou Electronic Technology (China) (CN)
- Xi'an Jiaotong University (CN)
Publication Details
- Journal
- BMC Gastroenterology
- Published
- 2024-09-17
- DOI
- https://doi.org/10.1186/s12876-024-03408-3
- Citations
- 3
- Primary Topic
- Gut microbiota and health
- Type
- article
- Field-Weighted Citation Impact
- 0.70
Funders
- Natural Science Basic Research Program of Shaanxi Province