Cargando…
Dialysis adequacy predictions using a machine learning method
Dialysis adequacy is an important survival indicator in patients with chronic hemodialysis. However, there are inconveniences and disadvantages to measuring dialysis adequacy by blood samples. This study used machine learning models to predict dialysis adequacy in chronic hemodialysis patients using...
Autores principales: | Kim, Hyung Woo, Heo, Seok-Jae, Kim, Jae Young, Kim, Annie, Nam, Chung-Mo, Kim, Beom Seok |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8322325/ https://www.ncbi.nlm.nih.gov/pubmed/34326393 http://dx.doi.org/10.1038/s41598-021-94964-1 |
Ejemplares similares
-
Deep Learning Model for Predicting Intradialytic Hypotension Without Privacy Infringement: A Retrospective Two-Center Study
por: Kim, Hyung Woo, et al.
Publicado: (2022) -
Association between Dialysis Adequacy and Cognition in Patients with Peritoneal Dialysis
por: Shin, Dong Jin, et al.
Publicado: (2020) -
Dialysis Adequacy and Risk of Dementia in Elderly Hemodialysis Patients
por: Kim, Hyung Woo, et al.
Publicado: (2021) -
The efficacy and adequacy of continuous ambulatory peritoneal dialysis
por: Wu, George, et al.
Publicado: (1985) -
Nationwide Implementation of Nonpharmaceutical Interventions During the Coronavirus Disease 2019 Pandemic Is Associated With Decreased Incidence of Pneumocystis jirovecii Pneumonia in Kidney Transplant Recipients
por: Park, Keun Hyung, et al.
Publicado: (2022)