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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Detalles Bibliográficos
Autores principales: 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: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8085040/
https://www.ncbi.nlm.nih.gov/pubmed/33927289
http://dx.doi.org/10.1038/s41598-021-88655-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8085040/
https://www.ncbi.nlm.nih.gov/pubmed/33927289
http://dx.doi.org/10.1038/s41598-021-88655-0

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