Predicting the risks of kidney failure and death in adults with moderate to severe chronic kidney disease.
Where this comes from
- Record sourced from PubMed, PMID 38621785.
- Also identified by DOI 10.1136/bmj.q721 and PMC identifier 11977298.
- Licence recorded as CC BY-NC.
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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.
Medical subject headings
- Renal Insufficiency, Chronic
- Renal Insufficiency
- Kidney Failure, Chronic