Predicting liver metastasis in pancreatic neuroendocrine tumors with an interpretable machine learning algorithm: a SEER-based study
The GBM model excels in predicting the risk of liver metastasis in PaNETs patients, outperforming other machine learning models and providing critical support for developing personalized medical strategies in clinical practice.
Authors
- Jinzhe Bi
- Yaqun Yu (ORCID: https://orcid.org/0000-0001-9415-8375)
Institutions
- Guilin Medical University (CN)
Publication Details
- Journal
- Frontiers in Medicine
- Published
- 2025-05-01
- DOI
- https://doi.org/10.3389/fmed.2025.1533132
- Citations
- 1
- Primary Topic
- Neuroendocrine Tumor Research Advances
- Type
- article
- Field-Weighted Citation Impact
- 1.35