Prediction of Lung Cancer Metastasis Using Machine Learning Models Based on Clinical Laboratory Data
The study demonstrated the potential of using ML algorithms, laboratory data, and clinical features to predict N involvement and skip N metastasis in lung cancer.
Authors
- Yuanyuan Guo (ORCID: https://orcid.org/0000-0002-4571-9938)
- Qi Liu
- Jun Gong
- Du Chao (ORCID: https://orcid.org/0000-0002-0453-1920)
- Changchun Niu (ORCID: https://orcid.org/0000-0002-8847-7369)
- Ling Yan (ORCID: https://orcid.org/0000-0002-8806-5524)
- Zhijie Li
Institutions
- Chongqing University (CN)
- Fuling Center Hospital of Chongqing (CN)
- People's Hospital of Bishan District (CN)
- First People's Hospital of Chongqing (CN)
- Chongqing Medical University (CN)
Publication Details
- Journal
- Cancer Reports
- Published
- 2025-10-01
- DOI
- https://doi.org/10.1002/cnr2.70350
- Citations
- 1
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 1.36