Development of a machine learning-based nomogram for predicting chronic postsurgical pain after uniportal video-assisted thoracoscopic surgery
This machine learning-driven nomogram provides a robust tool for early CPSP risk prediction after UVATS, facilitating personalized perioperative management.
Authors
- Yu Han (ORCID: https://orcid.org/0000-0002-5497-7947)
- Feng Liu (ORCID: https://orcid.org/0000-0002-2107-4290)
- Ye Shi (ORCID: https://orcid.org/0000-0002-9771-4178)
- Jie Jiang (ORCID: https://orcid.org/0000-0001-9519-4992)
- Hui Cao (ORCID: https://orcid.org/0000-0002-6470-9209)
- Bo Zhou (ORCID: https://orcid.org/0000-0002-2360-5016)
- Qin Wang (ORCID: https://orcid.org/0009-0004-6997-0678)
Institutions
- Nanjing Brain Hospital (CN)
Publication Details
- Journal
- Journal of Thoracic Disease
- Published
- 2025-10-01
- DOI
- https://doi.org/10.21037/jtd-2025-1215
- Primary Topic
- Lung Cancer Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00