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Identifying progressive CKD from healthy population using Bayesian network and artificial intelligence: A worksite-based cohort study

Identifying progressive early chronic kidney disease (CKD) patients at a health checkup is a good opportunity to improve their prognosis. However, it is difficult to identify them using common health tests. This worksite-based cohort study for 7 years in Japan (n = 7465) was conducted to evaluate th...

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Detalles Bibliográficos
Autores principales: Kanda, Eiichiro, Kanno, Yoshihiko, Katsukawa, Fuminori
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6434140/
https://www.ncbi.nlm.nih.gov/pubmed/30911092
http://dx.doi.org/10.1038/s41598-019-41663-7

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