Identifying subtypes of chronic kidney disease with machine learning: development, internal validation and prognostic validation using linked electronic health records in 350,067 individuals

BACKGROUND: Although chronic kidney disease (CKD) is associated with high multimorbidity, polypharmacy, morbidity and mortality, existing classification systems (mild to severe, usually based on estimated glomerular filtration rate, proteinuria or urine albumin-creatinine ratio) and risk prediction...

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Detalles Bibliográficos
Autores principales: Dashtban, Ashkan, Mizani, Mehrdad A., Pasea, Laura, Denaxas, Spiros, Corbett, Richard, Mamza, Jil B., Gao, He, Morris, Tamsin, Hemingway, Harry, Banerjee, Amitava
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9989643/
https://www.ncbi.nlm.nih.gov/pubmed/36857859
http://dx.doi.org/10.1016/j.ebiom.2023.104489

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9989643/
https://www.ncbi.nlm.nih.gov/pubmed/36857859
http://dx.doi.org/10.1016/j.ebiom.2023.104489

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