Fast screening of covariates in population models empowered by machine learning

One of the objectives of Pharmacometry (PMX) population modeling is the identification of significant and clinically relevant relationships between parameters and covariates. Here, we demonstrate how this complex selection task could benefit from supervised learning algorithms using importance score...

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Detalles Bibliográficos
Autores principales: Sibieude, Emeric, Khandelwal, Akash, Hesthaven, Jan S., Girard, Pascal, Terranova, Nadia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8225540/
https://www.ncbi.nlm.nih.gov/pubmed/34019213
http://dx.doi.org/10.1007/s10928-021-09757-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8225540/
https://www.ncbi.nlm.nih.gov/pubmed/34019213
http://dx.doi.org/10.1007/s10928-021-09757-w

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