Population pharmacokinetic model selection assisted by machine learning
Population pharmacokinetic model selection assisted by machine learning
About this item
Full title
Author / Creator
Publisher
New York: Springer US
Journal title
Language
English
Formats
Publication information
Publisher
New York: Springer US
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More information
Scope and Contents
Contents
A fit-for-purpose structural and statistical model is the first major requirement in population pharmacometric model development. In this manuscript we discuss how this complex and computationally intensive task could benefit from supervised machine learning algorithms. We compared the classical pharmacometric approach with two machine learning met...
Alternative Titles
Full title
Population pharmacokinetic model selection assisted by machine learning
Authors, Artists and Contributors
Author / Creator
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Primary Identifiers
Record Identifier
TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8940812
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8940812
Other Identifiers
ISSN
1567-567X
E-ISSN
1573-8744
DOI
10.1007/s10928-021-09793-6
