Cargando…
A proof of concept reinforcement learning based tool for non parametric population pharmacokinetics workflow optimization
The building of population pharmacokinetic models can be described as an iterative process in which given a model and a dataset, the pharmacometrician introduces some changes to the model specification, then perform an evaluation and based on the predictions obtained performs further optimization. T...
Autores principales: | Otalvaro, J. D., Yamada, W. M., Hernandez, A. M., Zuluaga, A. F., Chen, R., Neely, M. N. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9938066/ https://www.ncbi.nlm.nih.gov/pubmed/36478350 http://dx.doi.org/10.1007/s10928-022-09829-5 |
Ejemplares similares
-
Simulation-based optimization: parametric optimization techniques and reinforcement learning
por: Gosavi, Abhijit
Publicado: (2003) -
Optimized glycemic control of type 2 diabetes with reinforcement learning: a proof-of-concept trial
por: Wang, Guangyu, et al.
Publicado: (2023) -
Proof of concept of a workflow methodology for the creation of basic canine head anatomy veterinary education tool using augmented reality
por: Christ, Roxie, et al.
Publicado: (2018) -
Safe Model-Based Reinforcement Learning for Systems With Parametric Uncertainties
por: Mahmud, S. M. Nahid, et al.
Publicado: (2021) -
Utilizing 3D Printing Technology to Create Prosthetic Irises: Proof of Concept and Workflow
por: Prager, Alisa J., et al.
Publicado: (2023)