Development and validation of an interpretable machine learning model for predicting the risk of distant metastasis in papillary thyroid cancer: a multicenter study
This work was supported by the National Natural Science Foundation of China (No. 81960426, 82360345 and 82001986), the Outstanding Youth Science Foundation of Yunnan Basic Research Project (No. 202401AY070001-316), Yunnan Province Applied and Basic Research Foundation (No. 202401AT070008), and Ten Thousand Talent Plans for Young Top-notch Talents of Yunnan Province.
Authors
- Xiaoqi Peng (ORCID: https://orcid.org/0009-0009-9799-2627)
- Zhenhui Li (ORCID: https://orcid.org/0000-0001-7221-2588)
- Ting Chen (ORCID: https://orcid.org/0000-0003-4519-1405)
- Haolin Cai (ORCID: https://orcid.org/0009-0002-1914-8980)
- Fei Hou (ORCID: https://orcid.org/0000-0002-1070-6694)
- Lin Lu (ORCID: https://orcid.org/0009-0004-1068-6066)
- Yan Hou (ORCID: https://orcid.org/0000-0001-7730-7682)
- Hongbo Zhao (ORCID: https://orcid.org/0000-0002-8498-5577)
- Yinghui Wang (ORCID: https://orcid.org/0009-0002-3411-229X)
- Rongli He
- Yun Zhu (ORCID: https://orcid.org/0009-0008-0095-2040)
Institutions
- Peking University (CN)
- Kunming Medical University (CN)
- Peking University Cancer Hospital (CN)
- First Affiliated Hospital of Kunming Medical University (CN)
Publication Details
- Journal
- EClinicalMedicine
- Published
- 2024-10-31
- DOI
- https://doi.org/10.1016/j.eclinm.2024.102913
- Citations
- 48
- Primary Topic
- Thyroid Cancer Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 17.17
Funders
- National Natural Science Foundation of China