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

Author
A. Dashtban
M. Mizani
L. Pasea
S. Denaxas
R. Corbett
J. Mamza
H. Gao
T. Morris
H. Hemingway
A. Banerjee
Keywords
Humans
Prognosis
Electronic Health Records
*Renal Insufficiency, Chronic
machine learning
*Cardiovascular Diseases
CKD subtype
Cluster Analysis
Survival analysis
Unsupervised clustering
Year of Publication
2023
Journal
EBioMedicine
Volume
89
Number of Pages
104489
ISBN Number
2352-3964
Accession Number
36857859
DOI
10.1016/j.ebiom.2023.104489