Comparison of machine learning methods for Predicting 3-Year survival in elderly esophageal squamous cancer patients based on oxidative stress
The random forest clinical prediction model constructed based on OSS can effectively predict the prognosis of elderly patients with ESCC after curative surgery.
Authors
- Tianbao Yang (ORCID: https://orcid.org/0000-0002-0557-843X)
- Lianyi Guo (ORCID: https://orcid.org/0000-0003-3561-2798)
- Shijie Huang (ORCID: https://orcid.org/0000-0002-9508-0458)
- Wu Wang (ORCID: https://orcid.org/0000-0003-0159-558X)
- Boyang Chen (ORCID: https://orcid.org/0000-0003-4857-1948)
- Jinbiao Xie (ORCID: https://orcid.org/0000-0002-4021-9504)
Institutions
- Putian University (CN)
- Jinzhou Medical University (CN)
Publication Details
- Journal
- BMC Cancer
- Published
- 2024-11-21
- DOI
- https://doi.org/10.1186/s12885-024-13115-7
- Citations
- 3
- Primary Topic
- Esophageal Cancer Research and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 1.72