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

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

Abstract 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...

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Bibliographic Details
Main Authors: Stanislas Werfel, Georg Lorenz, Bernhard Haller, Roman Günthner, Julia Matschkal, Matthias C. Braunisch, Carolin Schaller, Peter Gundel, Stephan Kemmner, Salim S. Hayek, Christian Nusshag, Jochen Reiser, Philipp Moog, Uwe Heemann, Christoph Schmaderer
Format: Article
Language:English
Published: Nature Publishing Group 2021-04-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-021-88655-0

Internet

https://doi.org/10.1038/s41598-021-88655-0

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