Article

Learning pharmacometric covariate model structures with symbolic regression networks

2023-06-21

Abstract excerpt

Efficiently finding covariate model structures that minimize the need for random effects to describe pharmacological data is challenging. The standard approach focuses on identification of relevant covariates, and present methodology lacks tools for automatic identification of covariate model structures. Although neural networks could potentially be used to approximate covariate-parameter relationships, such appro...

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Literature Corpus work: 56b3a11d-8dfa-513d-b17b-56fad72164ef
DOI: 10.21203/rs.3.rs-3062691/v1

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