Using machine learning models to predict the initiation of renal replacement therapy among chronic kidney disease patients

Starting renal replacement therapy (RRT) for patients with chronic kidney disease (CKD) at an optimal time, either with hemodialysis or kidney transplantation, is crucial for patient’s well-being and for successful management of the condition. In this paper, we explore the possibilities of creating...

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Detalles Bibliográficos
Autores principales: Dovgan, Erik, Gradišek, Anton, Luštrek, Mitja, Uddin, Mohy, Nursetyo, Aldilas Achmad, Annavarajula, Sashi Kiran, Li, Yu-Chuan, Syed-Abdul, Shabbir
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7274378/
https://www.ncbi.nlm.nih.gov/pubmed/32502209
http://dx.doi.org/10.1371/journal.pone.0233976

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7274378/
https://www.ncbi.nlm.nih.gov/pubmed/32502209
http://dx.doi.org/10.1371/journal.pone.0233976

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