Emulating complex simulations by machine learning methods

Abstract Background The aim of the present paper is to construct an emulator of a complex biological system simulator using a machine learning approach. More specifically, the simulator is a patient-specific model that integrates metabolic, nutritional, and lifestyle data to predict the metabolic an...

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Autores principales: Paola Stolfi, Filippo Castiglione
Formato: article
Lenguaje:EN
Publicado: BMC 2021
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Acceso en línea:https://doaj.org/article/a6a5641db45c41bfb580a4adbb2f8c7d
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