Refining the Feasibility of Machine‐Learning‐Based Diagnostic Model Utilizing Gut Microbiota Analysis for Colorectal Cancer Screening
The reproducibility of the diagnostic accuracy of ml-GMM was confirmed. It was suggested that ml-GMM in combination with FIT could detect more CRC patients than FIT alone.
Authors
- Shintaro Okumura (ORCID: https://orcid.org/0000-0002-1480-4101)
- Tomonori Matsumoto (ORCID: https://orcid.org/0000-0003-4483-2178)
- Satoshi Nagayama (ORCID: https://orcid.org/0000-0001-9632-914X)
- Kazutaka Obama (ORCID: https://orcid.org/0000-0003-2924-6701)
- Taku Kitano
- Yusuke Konishi (ORCID: https://orcid.org/0000-0002-6434-6129)
- Eiji Hara (ORCID: https://orcid.org/0000-0001-7821-3960)
Institutions
- Kyoto University (JP)
- Suita Tokushukai Hospital (JP)
- Japanese Foundation For Cancer Research (JP)
- The University of Osaka (JP)
Publication Details
- Journal
- Cancer Medicine
- Published
- 2025-07-01
- DOI
- https://doi.org/10.1002/cam4.70935
- Citations
- 1
- Primary Topic
- Gut microbiota and health
- Type
- article
- Field-Weighted Citation Impact
- 0.81
Funders
- Japan Agency for Medical Research and Development
- Japan Science and Technology Agency