Machine Learning Improves Upon Clinicians' Prediction of End Stage Kidney Disease

BACKGROUND AND OBJECTIVES: Chronic kidney disease progression to ESKD is associated with a marked increase in mortality and morbidity. Its progression is highly variable and difficult to predict. METHODS: This is an observational, retrospective, single-centre study. The cohort was patients attending...

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Detalles Bibliográficos
Autores principales: Chuah, Aaron, Walters, Giles, Christiadi, Daniel, Karpe, Krishna, Kennard, Alice, Singer, Richard, Talaulikar, Girish, Ge, Wenbo, Suominen, Hanna, Andrews, T. Daniel, Jiang, Simon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8965763/
https://www.ncbi.nlm.nih.gov/pubmed/35372378
http://dx.doi.org/10.3389/fmed.2022.837232

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8965763/
https://www.ncbi.nlm.nih.gov/pubmed/35372378
http://dx.doi.org/10.3389/fmed.2022.837232

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