A proof of concept reinforcement learning based tool for non parametric population pharmacokinetics workflow optimization

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Location: Deutsche Nationalbibliothek Frankfurt am Main

ISSN: 1573-8744

Extent: Online-Ressource

Language: Englisch

Notes: online resource.

Bibliographic citation: A proof of concept reinforcement learning based tool for non parametric population pharmacokinetics workflow optimization ; volume:50 ; number:1 ; day:7 ; month:12 ; year:2022 ; pages:33-43 ; date:2.2023
Journal of pharmacokinetics and pharmacodynamics ; 50, Heft 1 (7.12.2022), 33-43, 2.2023

Creator: Otalvaro, J. D.
Yamada, W. M.
Hernandez, A. M.
Zuluaga, A. F.
Chen, R.
Neely, M. N.

Contributor: SpringerLink (Online service)

DOI: 10.1007/s10928-022-09829-5

URN: urn:nbn:de:101:1-2023042421053988813005

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 14.08.2025, 10:44 AM CEST

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Otalvaro, J. D.
Yamada, W. M.
Hernandez, A. M.
Zuluaga, A. F.
Chen, R.
Neely, M. N.
SpringerLink (Online service)

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A proof of concept reinforcement learning based tool for non parametric population pharmacokinetics workflow optimization

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