01017nas a2200361   4500000000100000000000100001008004100002653001100043653001400054653003000068653003400098653002100132653002900153653001600182653002100198653002200219653002800241100001600269700001400285700001300299700001500312700001500327700001300342700001100355700001400366700001700380700001600397245019500413250001500608300001100623490000700634020001400641       2023                            d10aHumans10aPrognosis10aElectronic Health Records10a*Renal Insufficiency, Chronic10amachine learning10a*Cardiovascular Diseases10aCKD subtype10aCluster Analysis10aSurvival analysis10aUnsupervised clustering1 aA. Dashtban1 aM. Mizani1 aL. Pasea1 aS. Denaxas1 aR. Corbett1 aJ. Mamza1 aH. Gao1 aT. Morris1 aH. Hemingway1 aA. Banerjee00aIdentifying subtypes of chronic kidney disease with machine learning: development, internal validation and prognostic validation using linked electronic health records in 350,067 individuals  a2023/03/02  a1044890 v89  a2352-3964