Construction of an automated machine learning-based predictive model for postoperative pulmonary complications risk in non-small cell lung cancer patients undergoing thoracoscopic surgery
This study establishes an interpretable machine learning framework that improves preoperative risk stratification for NSCLC patients, offering actionable guidance for thoracic oncology practice.
Authors
- Shuo Hu (ORCID: https://orcid.org/0000-0003-0998-8943)
- Xie Qiu
- Shumin Dong
- Haijun Sun
Institutions
- Xuzhou Medical College (CN)
- Lianyungang Oriental Hospital (CN)
- The First People’s Hospital of Lianyungang (CN)
- Kangda College of Nanjing Medical University
- Nanjing Medical University (CN)
Publication Details
- Journal
- PLoS ONE
- Published
- 2025-09-26
- DOI
- https://doi.org/10.1371/journal.pone.0333413
- Citations
- 4
- Primary Topic
- Lung Cancer Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 6.07