Fluid Overload Phenotypes in Critical Illness—A Machine Learning Approach

Background: The detrimental impact of fluid overload (FO) on intensive care unit (ICU) morbidity and mortality is well known. However, research to identify subgroups of patients particularly prone to fluid overload is scarce. The aim of this cohort study was to derive “FO phenotypes” in the critical...

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Detalles Bibliográficos
Autores principales: Messmer, Anna S., Moser, Michel, Zuercher, Patrick, Schefold, Joerg C., Müller, Martin, Pfortmueller, Carmen A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8780174/
https://www.ncbi.nlm.nih.gov/pubmed/35054030
http://dx.doi.org/10.3390/jcm11020336

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8780174/
https://www.ncbi.nlm.nih.gov/pubmed/35054030
http://dx.doi.org/10.3390/jcm11020336

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