Prediction model for ocular metastasis of breast cancer: machine learning model development and interpretation study
We used ML to establish a risk prediction model for BC ocular metastasis, and BAG showed the greatest performance. The model can predict the risk of OM in patients with BC, facilitate early and timely diagnosis and treatment, and reduce the burden on society.
Authors
- Qian Ling
- Qian‐Min Ge (ORCID: https://orcid.org/0000-0001-5403-3295)
- San‐Hua Xu
- Min Kang (ORCID: https://orcid.org/0000-0002-2681-7655)
- Jinyu Hu (ORCID: https://orcid.org/0000-0002-5706-6209)
- Yan Lou (ORCID: https://orcid.org/0000-0002-2248-0231)
- Ping Ying (ORCID: https://orcid.org/0000-0003-3539-9050)
- Shi‐Nan Wu (ORCID: https://orcid.org/0000-0002-6992-9059)
- Cheng Chen (ORCID: https://orcid.org/0000-0002-9583-7991)
- Jie Zou
- Liangqi He
- Yankun Shen (ORCID: https://orcid.org/0000-0002-0837-0992)
- Hong Wei
- Ru-Yi Rong
- Yi Shao (ORCID: https://orcid.org/0000-0002-5842-3167)
Institutions
- Nanchang University (CN)
- Sun Yat-sen University (CN)
- Shanghai Jiao Tong University (CN)
- Xiamen University (CN)
- Fudan University (CN)
- Southwest Medical University (CN)
- Shanghai Eye Disease Prevention & Treatment Center (CN)
- First Affiliated Hospital of Jiangxi Medical College (CN)
- Zhongshan Hospital (CN)
- The First Affiliated Hospital, Sun Yat-sen University (CN)
- Shanghai First People's Hospital (CN)
- First Affiliated Hospital of Nanchang University (CN)
Publication Details
- Journal
- BMC Cancer
- Published
- 2024-11-29
- DOI
- https://doi.org/10.1186/s12885-024-12928-w
- Citations
- 3
- Primary Topic
- Ocular Oncology and Treatments
- Type
- article
- Field-Weighted Citation Impact
- 1.62