Predicting the risks of kidney failure and death in adults with moderate to severe chronic kidney disease

Thomas Alexander Gerds, Pietro Ravani*

*Corresponding author af dette arbejde

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

2 Citationer (Scopus)
11 Downloads (Pure)

Abstract

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.
OriginalsprogEngelsk
Artikelnummerq721
TidsskriftBMJ
Vol/bind385
Antal sider3
ISSN0959-8146
DOI
StatusUdgivet - 2024

Citationsformater