Development and internal validation of diagnostic prediction models using machine-learning algorithms in dogs with hypothyroidism.

Journal: Frontiers in veterinary science
Published Date:

Abstract

INTRODUCTION: Hypothyroidism can be easily misdiagnosed in dogs, and prediction models can support clinical decision-making, avoiding unnecessary testing and treatment. The aim of this study is to develop and internally validate diagnostic prediction models for hypothyroidism in dogs by applying machine-learning algorithms.

Authors

  • Andrea Corsini
    Department of Veterinary Medical Sciences, Alma Mater Studiorum-University of Bologna, Ozzano Emilia, Italy.
  • Francesco Lunetta
    Department of Veterinary Medical Sciences, Alma Mater Studiorum-University of Bologna, Ozzano Emilia, Italy.
  • Fabrizio Alboni
    Department of Statistical Sciences, Alma Mater Studiorum-University of Bologna, Bologna, Italy.
  • Ignazio Drudi
    Department of Statistical Sciences, Alma Mater Studiorum-University of Bologna, Bologna, Italy.
  • Eugenio Faroni
    Department of Veterinary Medical Sciences, Alma Mater Studiorum-University of Bologna, Ozzano Emilia, Italy.
  • Federico Fracassi
    Department of Veterinary Medical Sciences, Alma Mater Studiorum-University of Bologna, Ozzano Emilia, Italy.

Keywords

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