Machine-learning-based Web system for the prediction of chronic kidney disease progression and mortality

Chronic kidney disease (CKD) patients have high risks of end-stage kidney disease (ESKD) and pre-ESKD death. Therefore, accurately predicting these outcomes is useful among CKD patients, especially in those who are at high risk. Thus, we evaluated whether a machine-learning system can predict accura...

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Detalles Bibliográficos
Autores principales: Kanda, Eiichiro, Epureanu, Bogdan Iuliu, Adachi, Taiji, Kashihara, Naoki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9931312/
https://www.ncbi.nlm.nih.gov/pubmed/36812636
http://dx.doi.org/10.1371/journal.pdig.0000188

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9931312/
https://www.ncbi.nlm.nih.gov/pubmed/36812636
http://dx.doi.org/10.1371/journal.pdig.0000188

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