Development and validation of the creatinine clearance predictor machine learning models in critically ill adults

BACKGROUND: In critically ill patients, measured creatinine clearance (CrCl) is the most reliable method to evaluate glomerular filtration rate in routine clinical practice and may vary subsequently on a day-to-day basis. We developed and externally validated models to predict CrCl one day ahead and...

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Detalles Bibliográficos
Autores principales: Huang, Chao-Yuan, Güiza, Fabian, Wouters, Pieter, Mebis, Liese, Carra, Giorgia, Gunst, Jan, Meersseman, Philippe, Casaer, Michael, Van den Berghe, Greet, De Vlieger, Greet, Meyfroidt, Geert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10327364/
https://www.ncbi.nlm.nih.gov/pubmed/37415234
http://dx.doi.org/10.1186/s13054-023-04553-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10327364/
https://www.ncbi.nlm.nih.gov/pubmed/37415234
http://dx.doi.org/10.1186/s13054-023-04553-z

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