Machine learning-based prediction of 5-year survival in elderly NSCLC patients using oxidative stress markers
The OSS-based clinical prediction model, constructed using machine learning methodologies, effectively predicts the prognosis of elderly NSCLC patients post-radical surgery.
Authors
- Lianyi Guo (ORCID: https://orcid.org/0000-0003-3561-2798)
- Bindong Xu (ORCID: https://orcid.org/0000-0002-7192-3991)
- Pengfei Chen (ORCID: https://orcid.org/0000-0003-1484-2850)
- Qiang Zhang (ORCID: https://orcid.org/0000-0001-6203-0967)
- Qiuxia Liu (ORCID: https://orcid.org/0000-0002-2090-4299)
- Jiangjiang Xu
- Hao Chen (ORCID: https://orcid.org/0000-0003-3173-3832)
Institutions
- Fujian University of Traditional Chinese Medicine (CN)
- Putian University (CN)
- Jinzhou Medical University (CN)
Publication Details
- Journal
- Frontiers in Oncology
- Published
- 2024-10-24
- DOI
- https://doi.org/10.3389/fonc.2024.1482374
- Citations
- 1
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.40
Funders
- Putian University