Integration of machine learning and viscoelastic testing to improve survival prediction in horses experiencing acute abdominal pain at a veterinary teaching hospital
L-lactate remains a key predictor of survival in horses with colic. The integration of VCT with clinical data in machine learning models may enhance prognostication.
Authors
- Beth MacLeod
- Pamela A. Wilkins (ORCID: https://orcid.org/0000-0002-2946-3477)
- Annette M. McCoy (ORCID: https://orcid.org/0000-0003-4088-6902)
- Rebecca C. Bishop (ORCID: https://orcid.org/0000-0002-9660-732X)
Institutions
- University of Illinois Urbana-Champaign (US)
Publication Details
- Journal
- Equine Veterinary Journal
- Published
- 2025-04-24
- DOI
- https://doi.org/10.1111/evj.14517
- Citations
- 5
- Primary Topic
- Veterinary Equine Medical Research
- Type
- article
- Field-Weighted Citation Impact
- 13.65
Funders
- Boehringer Ingelheim
- University of Illinois at Urbana-Champaign