Construction of Predictive Machine Learning Model of Glioma‐Associated Gut Microbiota
This method's efficacy in discriminating between glioma cells and normal controls underscores the potential of machine learning models in leveraging large datasets for clinical insights.
Authors
- Xu Chen (ORCID: https://orcid.org/0000-0002-2158-8320)
- Wentao Hu (ORCID: https://orcid.org/0000-0001-8495-4175)
- Hongyu Liu (ORCID: https://orcid.org/0000-0002-1571-0385)
- Jialin Liu (ORCID: https://orcid.org/0000-0001-6625-3076)
- E Wen (ORCID: https://orcid.org/0009-0002-2728-7243)
- Kai Zhang (ORCID: https://orcid.org/0000-0002-8953-2630)
- Ling Chen (ORCID: https://orcid.org/0000-0003-1485-1626)
- Ze Li (ORCID: https://orcid.org/0000-0001-6918-9620)
- Kai Zhao (ORCID: https://orcid.org/0009-0000-5186-2952)
Institutions
- Chinese PLA General Hospital (CN)
- Beijing Tsinghua Chang Gung Hospital (CN)
- China Medical University (CN)
Publication Details
- Journal
- Brain and Behavior
- Published
- 2025-09-01
- DOI
- https://doi.org/10.1002/brb3.70843
- Citations
- 2
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 2.72
Funders
- National Natural Science Foundation of China
- National Health Commission of the People's Republic of China