Machine learning predicts selected cat diseases using insurance data amid challenges in interpretability
To prevent or detect these conditions early, veterinarians can use the breed risk results to guide clients, especially those with high-risk breeds, by offering early advice on lifestyle and monitoring.
Authors
- Brenda N. Bonnett (ORCID: https://orcid.org/0009-0001-7163-1331)
- Elizabeth A. Stone (ORCID: https://orcid.org/0000-0003-0078-141X)
- Theresa M. Bernardo (ORCID: https://orcid.org/0000-0002-1330-3284)
- Barr N. Hadar (ORCID: https://orcid.org/0000-0003-1017-7531)
- Zvonimir Poljak (ORCID: https://orcid.org/0000-0001-8621-3661)
- Jason B. Coe (ORCID: https://orcid.org/0000-0002-0811-5051)
Institutions
- University of Guelph (CA)
Publication Details
- Journal
- American Journal of Veterinary Research
- Published
- 2025-02-07
- DOI
- https://doi.org/10.2460/ajvr.24.09.0282
- Citations
- 3
- Primary Topic
- Rabies epidemiology and control
- Type
- article
- Field-Weighted Citation Impact
- 3.11