Construction of a Lung Cancer Screening Risk Prediction Model Based on Machine Learning Algorithms
The lung cancer risk prediction model constructed based on the XGBoost algorithm is better than the logistic regression algorithm in terms of prediction accuracy and robustness, aiding in the risk assessment of individuals undergoing screening.
Authors
- T. Zhang
- Jie Jiang (ORCID: https://orcid.org/0000-0002-5739-0295)
- Wenhua Liang (ORCID: https://orcid.org/0000-0002-8159-7720)
- Yexin Chen
- Pei Wang
- Jianxing He
- Yuting Gu
Institutions
- Jinan University (CN)
- Fudan University (CN)
- National Health and Family Planning Commission (CN)
- First Affiliated Hospital of Guangzhou Medical University (CN)
- Southern Medical University (CN)
- Guangzhou Medical University (CN)
Publication Details
- Journal
- Journal of Evidence-Based Medicine
- Published
- 2026-01-07
- DOI
- https://doi.org/10.1111/jebm.70104
- Primary Topic
- Lung Cancer Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00