Development and evaluation of uncertainty quantifying machine learning models to predict piperacillin plasma concentrations in critically ill patients

BACKGROUND: Beta-lactam antimicrobial concentrations are frequently suboptimal in critically ill patients. Population pharmacokinetic (PopPK) modeling is the golden standard to predict drug concentrations. However, currently available PopPK models often lack predictive accuracy, making them less sui...

Descripción completa

Detalles Bibliográficos
Autores principales: Verhaeghe, Jarne, Dhaese, Sofie A. M., De Corte, Thomas, Vander Mijnsbrugge, David, Aardema, Heleen, Zijlstra, Jan G., Verstraete, Alain G., Stove, Veronique, Colin, Pieter, Ongenae, Femke, De Waele, Jan J., Van Hoecke, Sofie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9404625/
https://www.ncbi.nlm.nih.gov/pubmed/36008808
http://dx.doi.org/10.1186/s12911-022-01970-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9404625/
https://www.ncbi.nlm.nih.gov/pubmed/36008808
http://dx.doi.org/10.1186/s12911-022-01970-y

Ejemplares similares