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

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

Summary: 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 p...

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Bibliographic Details
Main Authors: Ashkan Dashtban, Mehrdad A. Mizani, Laura Pasea, Spiros Denaxas, Richard Corbett, Jil B. Mamza, He Gao, Tamsin Morris, Harry Hemingway, Amitava Banerjee
Format: Article
Language:English
Published: Elsevier 2023-03-01
Series:EBioMedicine
Subjects:
CKD subtype
Cluster analysis
Machine learning
Unsupervised clustering
Survival analysis
Online Access:http://www.sciencedirect.com/science/article/pii/S2352396423000543

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http://www.sciencedirect.com/science/article/pii/S2352396423000543

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