An early prediction model for canine chronic kidney disease based on routine clinical laboratory tests

The aim of this study was to derive a model to predict the risk of dogs developing chronic kidney disease (CKD) using data from electronic health records (EHR) collected during routine veterinary practice. Data from 57,402 dogs were included in the study. Two thirds of the EHRs were used to build th...

Descripción completa

Detalles Bibliográficos
Autores principales: Kokkinos, Yiannis, Morrison, JoAnn, Bradley, Richard, Panagiotakos, Theodoros, Ogeer, Jennifer, Chew, Dennis, O’Flynn, Ciaran, De Meyer, Geert, Watson, Phillip, Tagkopoulos, Ilias
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9411602/
https://www.ncbi.nlm.nih.gov/pubmed/36008537
http://dx.doi.org/10.1038/s41598-022-18793-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9411602/
https://www.ncbi.nlm.nih.gov/pubmed/36008537
http://dx.doi.org/10.1038/s41598-022-18793-6

Ejemplares similares