Simulating realistic patient profiles from pharmacokinetic models by a machine learning postprocessing correction of residual variability
Abstract We address the problem of model misspecification in population pharmacokinetics (PopPK), by modeling residual unexplained variability (RUV) by machine learning (ML) methods in a postprocessing step after conventional model building. The practical purpose of the method is the generation of r...
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| Main Authors: | , , |
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| Format: | Book |
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Wiley,
2024-09-01T00:00:00Z.
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| Online Access: | Connect to this object online. |
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Internet
Connect to this object online.3rd Floor Main Library
| Call Number: |
A1234.567 |
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| Copy 1 | Available |