Predicting early risk of chronic kidney disease in cats using routine clinical laboratory tests and machine learning.

Journal: Journal of veterinary internal medicine
Published Date: Nov 1, 2019

Abstract

BACKGROUND: Advanced machine learning methods combined with large sets of health screening data provide opportunities for diagnostic value in human and veterinary medicine.

Authors

  • Richard Bradley
    WALTHAM® Centre for Pet Nutrition, Freeby Lane, Waltham on the Wolds, Leicestershire, United Kingdom.
  • Ilias Tagkopoulos
    Department of Computer Science, University of California at Davis, Davis, CA, United States.
  • Minseung Kim
    Process Integration and Predictive Analytics, PIPA LLC, Davis, California.
  • Yiannis Kokkinos
    Process Integration and Predictive Analytics, PIPA LLC, Davis, California.
  • Theodoros Panagiotakos
    Process Integration and Predictive Analytics, PIPA LLC, Davis, California.
  • James Kennedy
    Centre for Robotics and Neural Systems, The Cognition Institute, Plymouth University, Plymouth, United Kingdom.
  • Geert De Meyer
    WALTHAM® Centre for Pet Nutrition, Freeby Lane, Waltham on the Wolds, Leicestershire, United Kingdom.
  • Phillip Watson
    WALTHAM Petcare Science Institute, Waltham-on-the-Wolds, Melton Mowbray, United Kingdom.
  • Jonathan Elliott
    Department of Comparative Biomedical Sciences, Royal Veterinary College, London, United Kingdom.

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