Machine Learning for Exposure-Response Analysis: Methodological Considerations and Confirmation of Their Importance via Computational Experimentations

Exposure-response (E-R) is a key aspect of pharmacometrics analysis that supports drug dose selection. Currently, there is a lack of understanding of the technical considerations necessary for drawing unbiased estimates from data. Due to recent advances in machine learning (ML) explainability method...

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Detalles Bibliográficos
Autores principales: Harun, Rashed, Yang, Eric, Kassir, Nastya, Zhang, Wenhui, Lu, James
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10221670/
https://www.ncbi.nlm.nih.gov/pubmed/37242624
http://dx.doi.org/10.3390/pharmaceutics15051381

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10221670/
https://www.ncbi.nlm.nih.gov/pubmed/37242624
http://dx.doi.org/10.3390/pharmaceutics15051381

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