Machine learning-enabled prediction of bone metastasis in esophageal cancer
The XGBoost model showed excellent predictive performance for bone metastasis in esophageal cancer patients, providing valuable insights for guiding clinical treatment decisions.
Authors
- Wei Duan (ORCID: https://orcid.org/0000-0002-2305-4779)
- Shouzheng Ma (ORCID: https://orcid.org/0000-0002-5472-3584)
- Haihui Wang (ORCID: https://orcid.org/0000-0002-2917-4739)
- Liqiang Liu (ORCID: https://orcid.org/0000-0001-5325-9399)
- Tao She (ORCID: https://orcid.org/0000-0003-1964-1310)
- Jiakuan Chen
Institutions
- Air Force Medical University (CN)
Publication Details
- Journal
- Frontiers in Medicine
- Published
- 2025-06-30
- DOI
- https://doi.org/10.3389/fmed.2025.1620687
- Citations
- 1
- Primary Topic
- Esophageal Cancer Research and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 2.01