Enhancing preoperative risk stratification: an interpretable machine learning model for ICU admission in spinal metastasis surgery
This study presents validated ML models specifically designed for ICU admission prediction following spinal metastasis surgery, with the KNN model performing satisfactory performance and demonstrating strong potential for clinical implementation.
Authors
- Yaosheng Liu
- Hanbin Zhang (ORCID: https://orcid.org/0000-0001-8600-7999)
- Xuyong Cao (ORCID: https://orcid.org/0000-0001-8522-3374)
- Yuncen Cao (ORCID: https://orcid.org/0009-0006-8675-6627)
- Juan Zhang (ORCID: https://orcid.org/0000-0002-4974-4540)
- Bin Zhang (ORCID: https://orcid.org/0000-0002-4843-2529)
- Desheng Li (ORCID: https://orcid.org/0000-0002-9587-8451)
- Xiongwei Zhao
- Mingxing Lei (ORCID: https://orcid.org/0009-0009-7134-0014)
- Bing Wu (ORCID: https://orcid.org/0009-0005-8640-6371)
- Haikuan Yu
Institutions
- Chinese PLA General Hospital (CN)
- First Affiliated Hospital of Chinese PLA General Hospital (CN)
Publication Details
- Journal
- International Journal of Surgery
- Published
- 2025-12-09
- DOI
- https://doi.org/10.1097/js9.0000000000004416
- Primary Topic
- Management of metastatic bone disease
- Type
- article
- Field-Weighted Citation Impact
- 0.00