An external validation of models to predict the onset of chronic kidney disease using population-based electronic health records from Salford, UK.
Chronic kidney disease (CKD) is a major and increasing constituent of disease burdens worldwide. Early identification of patients at increased risk of developing CKD can guide interventions to slow disease progression, initiate timely referral to appropriate kidney care services, and support targeti...
Главные авторы: | Fraccaro, P, van der Veer, S, Brown, B, Prosperi, M, O'Donoghue, D, Collins, G, Buchan, I, Peek, N |
---|---|
Формат: | Journal article |
Язык: | English |
Опубликовано: |
BioMed Central
2016
|
Схожие документы
-
Salford to Saltburn: NFI
по: Baldwin, Jon
Опубликовано: (2024) -
The Haunting of L.S. Lowry: Class, Mass Spectatorship and the Image at The Lowry, Salford, UK
по: Zoë Thompson
Опубликовано: (2013-10-01) -
Digital health: A university led strategic approach to transform healthcare in Salford, UK
по: Shahid Ali
Опубликовано: (2014-11-01) -
Digital health: A university led strategic approach to transform healthcare in Salford, UK
по: Shahid Ali
Опубликовано: (2014-11-01) -
Impact of prior stroke on major clinical outcome in chronic kidney disease: the Salford kidney cohort study
по: James Tollitt, и др.
Опубликовано: (2019-11-01)