A machine learning-based model for predicting recurrence in intermediate- and high-risk differentiated thyroid cancer: insights from a retrospective single-center study of 2388 patients
The random forest model effectively predicts DTC recurrence, offering a practical tool for individualized risk assessment and aiding clinical decision-making.
Authors
- Zimei Tang (ORCID: https://orcid.org/0000-0002-3439-3303)
- Anwen Ren
- Jie Ming (ORCID: https://orcid.org/0000-0003-4761-9954)
- Gang Tian (ORCID: https://orcid.org/0000-0002-4116-3215)
- Jie Liu (ORCID: https://orcid.org/0000-0002-1415-3847)
- Yiran Wang (ORCID: https://orcid.org/0009-0003-0978-5190)
- Yi Li (ORCID: https://orcid.org/0000-0002-2092-4505)
- Jianing Zhang (ORCID: https://orcid.org/0000-0002-3591-0368)
Institutions
- Union Hospital (HK)
- Huazhong University of Science and Technology (CN)
Publication Details
- Journal
- Frontiers in Endocrinology
- Published
- 2025-06-17
- DOI
- https://doi.org/10.3389/fendo.2025.1552479
- Citations
- 2
- Primary Topic
- Thyroid Cancer Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 2.59
Funders
- National Natural Science Foundation of China