An explainable and supervised machine learning model for prediction of red blood cell transfusion in patients during hip fracture surgery
Our study firstly demonstrated that the RF model with 10 common variables might predict intraoperative RBC transfusion in hip fracture patients.
Authors
- Chaojin Chen (ORCID: https://orcid.org/0000-0001-5101-4101)
- Yongchang Zhou
- Qingxiong Hong
- Zhikun Wu (ORCID: https://orcid.org/0000-0002-2711-3860)
- Suo Wang
- Gaofeng Zhao (ORCID: https://orcid.org/0009-0009-1875-586X)
- Weixing Chen (ORCID: https://orcid.org/0000-0002-5850-1954)
- Dong Yang (ORCID: https://orcid.org/0009-0001-1101-0170)
Institutions
- Guangzhou University of Chinese Medicine (CN)
- Sun Yat-sen University (CN)
- Third Affiliated Hospital of Sun Yat-sen University (CN)
Publication Details
- Journal
- BMC Anesthesiology
- Published
- 2024-12-19
- DOI
- https://doi.org/10.1186/s12871-024-02832-y
- Citations
- 3
- Primary Topic
- Hip and Femur Fractures
- Type
- article
- Field-Weighted Citation Impact
- 1.72