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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Autors principals:	Ashkan Dashtban, Mehrdad A. Mizani, Laura Pasea, Spiros Denaxas, Richard Corbett, Jil B. Mamza, He Gao, Tamsin Morris, Harry Hemingway, Amitava Banerjee
Format:	Artigo
Idioma:	Inglês
Publicat:	Elsevier 2023-03-01
Col·lecció:	EBioMedicine
Matèries:	CKD subtype Cluster analysis Machine learning Unsupervised clustering Survival analysis
Accés en línia:	http://www.sciencedirect.com/science/article/pii/S2352396423000543
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