Predicting the risks of kidney failure and death in adults with moderate to severe chronic kidney disease
Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
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Predicting the risks of kidney failure and death in adults with moderate to severe chronic kidney disease. / Gerds, Thomas Alexander; Ravani, Pietro.
I: BMJ, Bind 385, q721, 2024.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
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TY - JOUR
T1 - Predicting the risks of kidney failure and death in adults with moderate to severe chronic kidney disease
AU - Gerds, Thomas Alexander
AU - Ravani, Pietro
PY - 2024
Y1 - 2024
N2 - The risk prediction model for kidney failure and death in people with chronic kidney disease (CKD) presented in the linked study is a super learner. A super learner is an algorithm that repeatedly splits the data into training and test sets and then chooses the best performing model from a list of candidate prediction models. This article describes why and how the super learner was implemented in the linked study.
AB - The risk prediction model for kidney failure and death in people with chronic kidney disease (CKD) presented in the linked study is a super learner. A super learner is an algorithm that repeatedly splits the data into training and test sets and then chooses the best performing model from a list of candidate prediction models. This article describes why and how the super learner was implemented in the linked study.
U2 - 10.1136/bmj.q721
DO - 10.1136/bmj.q721
M3 - Journal article
C2 - 38621785
AN - SCOPUS:85190765126
VL - 385
JO - The BMJ
JF - The BMJ
SN - 0959-8146
M1 - q721
ER -
ID: 393793965