Associated factors of white matter hyperintensity volume: a machine-learning approach

To identify the most important parameters associated with cerebral white matter hyperintensities (WMH), in consideration of potential collinearity, we used a data-driven machine-learning approach. We analysed two independent cohorts (KORA and SHIP). WMH volumes were derived from cMRI-images (FLAIR)....

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Detalhes bibliográficos
Publicado no:Sci Rep
Main Authors: Grosu, Sergio, Rospleszcz, Susanne, Hartmann, Felix, Habes, Mohamad, Bamberg, Fabian, Schlett, Christopher L., Galie, Franziska, Lorbeer, Roberto, Auweter, Sigrid, Selder, Sonja, Buelow, Robin, Heier, Margit, Rathmann, Wolfgang, Mueller-Peltzer, Katharina, Ladwig, Karl-Heinz, Grabe, Hans J., Peters, Annette, Ertl-Wagner, Birgit B., Stoecklein, Sophia
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/PMC7840689/
https://ncbi.nlm.nih.gov/pubmed/33504924
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-021-81883-4
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