Journal article
Learning pharmacokinetic models for in vivo glucocorticoid activation
- Abstract:
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To understand trends in individual responses to medication, one can take a purely data-driven machine learning approach, or alternatively apply pharmacokinetics combined with mixed-effects statistical modelling. To take advantage of the predictive power of machine learning and the explanatory power of pharmacokinetics, we propose a latent variable mixture model for learning clusters of pharmacokinetic models demonstrated on a clinical data set investigating 11β-hydroxysteroid dehydrogenase en...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Version of record, pdf, 926.8KB)
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- Publisher copy:
- 10.1016/j.jtbi.2018.07.025
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Authors
Funding
+ European Commission
More from this funder
Grant:
MSCA-IF-2014-EF - Marie Skłodowska-Curie Individual Fellowship (IF-EF) under grant agreement no. 659104
Bibliographic Details
- Publisher:
- Elsevier Publisher's website
- Journal:
- Journal of Theoretical Biology Journal website
- Volume:
- 455
- Pages:
- 222-231
- Publication date:
- 2018-07-23
- Acceptance date:
- 2018-07-21
- DOI:
- EISSN:
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1095-8541
- ISSN:
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0022-5193
- Pmid:
-
30048717
- Source identifiers:
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891514
Item Description
- Language:
- English
- Keywords:
- Pubs id:
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pubs:891514
- UUID:
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uuid:152682be-23a6-4f0d-95b9-0c8fbcfc335e
- Local pid:
- pubs:891514
- Deposit date:
- 2018-09-25
Terms of use
- Copyright holder:
- Bunte et al
- Copyright date:
- 2018
- Notes:
- © 2018 The Authors. This is an open access article under the CC BY license. (http://creativecommons.org/licenses/by/4.0/)
- Licence:
- CC Attribution (CC BY)
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