Prediction of all-cause mortality for chronic kidney disease patients using four models of machine learnings.

Tran Nu Thuy DungMargaux BalezeauxMaelys GranalDenis FouqueMichel DucherJean-Pierre Fauvel

Published in: Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association (2022)

A Bayesian network was used to create a 7-variable prediction tool to predict the 2-year all-cause mortality in patients with stage 4-5 CKD. Prior to external validation, the proposed prediction tool can be used at: https://dev.hed.cc/?a=jpfauvel&n=2022-05%20Modele%20Bayesien%2020000%20Mortalite%207%20variables%20Naif%20Zou%20online(1).neta for research purposes.

Keyphrases

chronic kidney disease
end stage renal disease
peritoneal dialysis
ejection fraction
newly diagnosed
prognostic factors
healthcare
deep learning
machine learning