Utilizing machine learning algorithms for predicting risk factors for bone metastasis from right-sided colon carcinoma after complete mesocolic excision: a 10-year retrospective multicenter study
The prediction model for BM from right-sided colon cancer developed using the XGBoost machine learning algorithm in this study is both highly precise and clinically valuable.
Authors
- Shuting Wang (ORCID: https://orcid.org/0009-0002-3217-6732)
- Teng Dai
- Songyun Zhao (ORCID: https://orcid.org/0000-0003-0542-1085)
- Jiaheng Xie (ORCID: https://orcid.org/0000-0002-4992-498X)
- Yuan Liu (ORCID: https://orcid.org/0000-0002-2578-0707)
- Sen Niu (ORCID: https://orcid.org/0000-0002-6122-6893)
- Ning Zhao (ORCID: https://orcid.org/0000-0001-7242-3262)
- Yuankun Liu (ORCID: https://orcid.org/0009-0009-3600-1586)
- Langyu Wang
- Chao Cheng (ORCID: https://orcid.org/0000-0002-9380-3296)
Institutions
- Jiangnan University (CN)
- Central South University (CN)
- Wuxi People's Hospital (CN)
- Xiangya Hospital Central South University (CN)
- Nanjing Medical University (CN)
Publication Details
- Journal
- Discover Oncology
- Published
- 2024-09-19
- DOI
- https://doi.org/10.1007/s12672-024-01327-z
- Citations
- 4
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 1.62