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

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 from el...

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Detalles Bibliográficos
Autores principales: Bradley, Richard, Tagkopoulos, Ilias, Kim, Minseung, Kokkinos, Yiannis, Panagiotakos, Theodoros, Kennedy, James, De Meyer, Geert, Watson, Phillip, Elliott, Jonathan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2019
Materias:
SMALL ANIMAL
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6872623/
https://www.ncbi.nlm.nih.gov/pubmed/31557361
http://dx.doi.org/10.1111/jvim.15623

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6872623/
https://www.ncbi.nlm.nih.gov/pubmed/31557361
http://dx.doi.org/10.1111/jvim.15623

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