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

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

Abstract Background Advanced machine learning methods combined with large sets of health screening data provide opportunities for diagnostic value in human and veterinary medicine. Hypothesis/Objectives To derive a model to predict the risk of cats developing chronic kidney disease (CKD) using data...

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Bibliographic Details
Main Authors: Richard Bradley, Ilias Tagkopoulos, Minseung Kim, Yiannis Kokkinos, Theodoros Panagiotakos, James Kennedy, Geert De Meyer, Phillip Watson, Jonathan Elliott
Format: Article
Language:English
Published: Wiley 2019-11-01
Series:Journal of Veterinary Internal Medicine
Subjects:
artificial neural network
computer model
feline
machine learning
renal
Online Access:https://doi.org/10.1111/jvim.15623

Internet

https://doi.org/10.1111/jvim.15623

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