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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...
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 |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
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 |
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