Machine learning predicts selected cat diseases using insurance data amid challenges in interpretability.

Journal: American journal of veterinary research
PMID:

Abstract

OBJECTIVE: To develop models for prediction of the onset of specific diseases in cats using pet insurance data and to evaluate their predictive performance.

Authors

  • Barr N Hadar
    Department of Population Medicine, Ontario Veterinary College, University of Guelph, Guelph, ON, Canada.
  • Zvonimir Poljak
    Department of Population Medicine, Ontario Veterinary College, University of Guelph, 50 Stone Road East, Guelph, Ontario, Canada; Centre for Public Health and Zoonoses, Ontario Veterinary College, University of Guelph, 50 Stone Road East, Guelph, Ontario, Canada. Electronic address: zpoljak@uoguelph.ca.
  • Brenda Bonnett
    B. Bonnett Consulting, Georgian Bluffs, ON, Canada.
  • Jason Coe
    Department of Population Medicine, Ontario Veterinary College, University of Guelph, Guelph, ON, Canada.
  • Elizabeth A Stone
    Department of Clinical Studies, Ontario Veterinary College, University of Guelph, Guelph, ON, Canada.
  • Theresa M Bernardo
    Department of Population Medicine, Ontario Veterinary College, University of Guelph, Guelph, ON, Canada.