Predicting Preoperative Deep Vein Thrombosis in Elderly Hip Fracture Patients Using an Interpretable Machine Learning Model
Interpretable predictive models can help implement timely interventions and assist physicians in accurately predicting preoperative DVT risk in elderly hip - fracture patients.
Authors
- Yuan Liu (ORCID: https://orcid.org/0009-0007-0579-4056)
- Qi Cheng (ORCID: https://orcid.org/0009-0005-4177-2634)
- Weiming Cai
- Pengfei Zhu (ORCID: https://orcid.org/0000-0002-5126-0406)
- Lijie Shi
Institutions
- Nantong University (CN)
- The Affiliated Taizhou People's Hospital of Nanjing Medical University (CN)
- Northern Jiangsu People's Hospital (CN)
- First People's Hospital of Jingzhou (CN)
- First Affiliated Hospital of Wannan Medical College (CN)
Publication Details
- Journal
- International Journal of General Medicine
- Published
- 2025-12-01
- DOI
- https://doi.org/10.2147/ijgm.s551225
- Primary Topic
- Hip and Femur Fractures
- Type
- article
- Field-Weighted Citation Impact
- 0.00