Development and Validation of an Interpretable Machine Learning Model for Predicting venous Thromboembolism in ICU patients With Traumatic Brain Injury: A Multicenter Study
The logistic regression model demonstrates strong predictive capability for early VTE following TBI, which may potentially contribute to reducing complications associated with VTE and improving patient outcomes.
Authors
- Juan Fang (ORCID: https://orcid.org/0000-0002-0207-3436)
- Tian-Wei Pei
- Tao Chen (ORCID: https://orcid.org/0000-0003-0025-0010)
- Ao Li (ORCID: https://orcid.org/0000-0002-1927-8606)
- Lingli Li (ORCID: https://orcid.org/0000-0002-7599-5044)
- Qi Hao
- Zhisong Ding (ORCID: https://orcid.org/0000-0002-4242-2450)
Institutions
- Jiangnan University (CN)
- Wuxi Fourth People's Hospital (CN)
- Xiangshan County First People's Hospital (CN)
- Wuxi Taihu Hospital (CN)
- Wuxi People's Hospital (CN)
- Xiang Yang No.1 People's Hospital (CN)
- Xiangtan University (CN)
Publication Details
- Journal
- World Neurosurgery
- Published
- 2025-08-28
- DOI
- https://doi.org/10.1016/j.wneu.2025.124399
- Citations
- 2
- Primary Topic
- Acute Ischemic Stroke Management
- Type
- article
- Field-Weighted Citation Impact
- 2.71
Funders
- National Natural Science Foundation of China
- Natural Science Foundation of Jiangsu Province