Application of regularized regression to identify novel predictors of mortality in a cohort of hemodialysis patients

Cohort studies often provide a large array of data on study participants. The techniques of statistical learning can allow an efficient way to analyze large datasets in order to uncover previously unknown, clinically relevant predictors of morbidity or mortality. We applied a combination of elastic...

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Detalhes bibliográficos
Publicado no:Sci Rep
Main Authors: Werfel, Stanislas, Lorenz, Georg, Haller, Bernhard, Günthner, Roman, Matschkal, Julia, Braunisch, Matthias C., Schaller, Carolin, Gundel, Peter, Kemmner, Stephan, Hayek, Salim S., Nusshag, Christian, Reiser, Jochen, Moog, Philipp, Heemann, Uwe, Schmaderer, Christoph
Formato: Artigo
Idioma:Inglês
Publicado em: Nature Publishing Group UK 2021
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Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC8085040/
https://ncbi.nlm.nih.gov/pubmed/33927289
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-021-88655-0
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