Emulating complex simulations by machine learning methods
Emulating complex simulations by machine learning methods
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Publisher
London: BioMed Central Ltd
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Language
English
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Publisher
London: BioMed Central Ltd
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Scope and Contents
Contents
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 and inflammatory processes underlying the development of type-2 diabetes...
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Full title
Emulating complex simulations by machine learning methods
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TN_cdi_doaj_primary_oai_doaj_org_article_a6a5641db45c41bfb580a4adbb2f8c7d
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_a6a5641db45c41bfb580a4adbb2f8c7d
Other Identifiers
ISSN
1471-2105
E-ISSN
1471-2105
DOI
10.1186/s12859-021-04354-7
