Machine learning for predicting the prognosis of patients with thymoma and thymic carcinoma
We trained ML-based predictive models that could accurately predict the 5-year OS and DSS of patients with thymoma and thymic carcinoma.
Authors
- Xiaoming Cai (ORCID: https://orcid.org/0000-0003-1535-8761)
- Jiaying Wu (ORCID: https://orcid.org/0000-0001-5184-4295)
- Jiong Lin (ORCID: https://orcid.org/0000-0002-0834-8445)
- Junhan Wu (ORCID: https://orcid.org/0000-0002-3726-5948)
- Zheng Lin (ORCID: https://orcid.org/0000-0001-5242-716X)
- Jianrong Chen (ORCID: https://orcid.org/0000-0001-7548-2823)
- Hansheng Wu (ORCID: https://orcid.org/0000-0002-5899-5480)
- Peishen Li
- Chaobin He (ORCID: https://orcid.org/0000-0002-8149-1264)
- Xirui Lin
- Zefeng Xie (ORCID: https://orcid.org/0009-0004-0691-1785)
- Haijie Xu (ORCID: https://orcid.org/0000-0002-2692-1575)
Institutions
- Shantou University (CN)
- First Affiliated Hospital of Shantou University Medical College (CN)
- Shantou University Medical College (CN)
- Guangdong Academy of Medical Sciences (CN)
- Guangdong Provincial People's Hospital (CN)
- Southern Medical University (CN)
Publication Details
- Journal
- Journal of Thoracic Disease
- Published
- 2025-02-01
- DOI
- https://doi.org/10.21037/jtd-24-1263
- Citations
- 1
- Primary Topic
- Statistical and Computational Modeling
- Type
- article
- Field-Weighted Citation Impact
- 2.48