Unsupervised clustering reveals phenotypes of AKI in ICU COVID-19 patients

Unsupervised clustering reveals phenotypes of AKI in ICU COVID-19 patients

BackgroundAcute Kidney Injury (AKI) is a very frequent condition, occurring in about one in three patients admitted to an intensive care unit (ICU). AKI is a syndrome defined as a sudden decrease in glomerular filtration rate. However, this unified definition does not reflect the various mechanisms...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: David Legouis, Gilles Criton, Benjamin Assouline, Christophe Le Terrier, Sebastian Sgardello, Jérôme Pugin, Elisa Marchi, Frédéric Sangla
Μορφή: Άρθρο
Γλώσσα:English
Έκδοση: Frontiers Media S.A. 2022-10-01
Σειρά:Frontiers in Medicine
Θέματα:
AKI
clustering
machine learning
COVID-19
critical care
Διαθέσιμο Online:https://www.frontiersin.org/articles/10.3389/fmed.2022.980160/full

Διαδίκτυο

https://www.frontiersin.org/articles/10.3389/fmed.2022.980160/full

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