Nested active learning for efficient model contextualization and parameterization: pathway to generating simulated populations using multi-scale computational models,SIMULATION

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Nested active learning for efficient model contextualization and parameterization: pathway to generating simulated populations using multi-scale computational models
SIMULATION ( IF 1.3 ) Pub Date : 2020-12-14 , DOI: 10.1177/0037549720975075
Chase Cockrell ₁ , Jonathan Ozik ₂ , Nick Collier ₂ , Gary An ₁

Affiliation

There is increasing interest in the use of mechanism-based multi-scale computational models (such as agent-based models (ABMs)) to generate simulated clinical populations in order to discover and e...

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