Optimizing Predictive Performance of Bayesian Forecasting for Vancomycin Concentration in Intensive Care Patients

PURPOSE: Bayesian forecasting is crucial for model-based dose optimization based on therapeutic drug monitoring (TDM) data of vancomycin in intensive care (ICU) patients. We aimed to evaluate the performance of Bayesian forecasting using maximum a posteriori (MAP) estimation for model-based TDM. MET...

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Detalles Bibliográficos
Autores principales: Guo, Tingjie, van Hest, Reinier M., Zwep, Laura B., Roggeveen, Luca F., Fleuren, Lucas M., Bosman, Rob J., van der Voort, Peter H. J., Girbes, Armand R. J., Mathot, Ron A. A., Elbers, Paul W. G., van Hasselt, Johan G. C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2020
Materias:
Research Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7443423/
https://www.ncbi.nlm.nih.gov/pubmed/32830297
http://dx.doi.org/10.1007/s11095-020-02908-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7443423/
https://www.ncbi.nlm.nih.gov/pubmed/32830297
http://dx.doi.org/10.1007/s11095-020-02908-7

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