Unsupervised clustering reveals phenotypes of AKI in ICU COVID-19 patients
An Erratum on
Unsupervised clustering reveals phenotypes of AKI in ICU COVID-19 patients
by Legouis, D., Criton, G., Assouline, B., Le Terrier, C., Sgardello, S., Pugin, J., Marchi, E., and Sangla, F. (2022). Front. Med. 9:980160. doi: 10.3389/fmed.2022.980160
An omission to the funding section of the original article was made in error. The following sentence has been added: “Open access funding was provided by the University of Geneva.”
The original article has been updated.
Keywords: AKI, clustering, machine learning, COVID-19, critical care
Citation: Frontiers Production Office (2023) Erratum: Unsupervised clustering reveals phenotypes of AKI in ICU COVID-19 patients. Front. Med. 10:1172589. doi: 10.3389/fmed.2023.1172589
Received: 23 February 2023; Accepted: 23 February 2023;
Published: 07 March 2023.
Approved by:
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