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

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

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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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Bibliographic Details
Main Authors: Eiichiro Kanda, Bogdan Iuliu Epureanu, Taiji Adachi, Naoki Kashihara
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2023-01-01
Series:PLOS Digital Health
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9931312/?tool=EBI

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