A machine learning–based Coagulation Risk Index predicts acute traumatic coagulopathy in bleeding trauma patients
Authors
- Shiming Yang (ORCID: https://orcid.org/0000-0003-0338-4268)
- Thomas Michael Scalea (ORCID: https://orcid.org/0000-0001-8794-4108)
- Justin E. Richards (ORCID: https://orcid.org/0000-0001-9656-2689)
- Rosemary A. Kozar (ORCID: https://orcid.org/0000-0002-9582-8622)
- Peter Hu (ORCID: https://orcid.org/0000-0001-8736-6088)
Institutions
- University of Maryland, Baltimore (US)
- RELX Group (Netherlands) (NL)
- Hesco (United States) (US)
Publication Details
- Journal
- The Journal of Trauma: Injury, Infection, and Critical Care
- Published
- 2024-09-27
- DOI
- https://doi.org/10.1097/ta.0000000000004463
- Citations
- 9
- Primary Topic
- Trauma, Hemostasis, Coagulopathy, Resuscitation
- Type
- article
- Field-Weighted Citation Impact
- 3.80