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Article

Nested Active Learning for Efficient Model Contextualization and Parameterization: Pathway to generating simulated populations using multi-scale computational models

2019-05-21

Abstract excerpt

There is increasing interest in the use of mechanism-based multi-scale computational models (such as agent-based models) to generate simulated clinical populations in order to discover and evaluate potential diagnostic and therapeutic modalities. The description of the environment in which a biomedical simulation operates (model context) and parameterization of internal model rules (model content) requires the opt...

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Literature Corpus work
2c2616e8-3ca5-5316-a788-86e10895b21e
DOI
10.1101/644401
Open publication

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Nested Active Learning for Efficient Model Contextualization and Parameterization: Pathway to generating simulated populations using multi-scale computational modelsDOI 10.1101/644401
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