Emulating complex simulations by machine learning methods

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 and inflam...

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Detalles Bibliográficos
Autores principales: Stolfi, Paola, Castiglione, Filippo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8588594/
https://www.ncbi.nlm.nih.gov/pubmed/34772335
http://dx.doi.org/10.1186/s12859-021-04354-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8588594/
https://www.ncbi.nlm.nih.gov/pubmed/34772335
http://dx.doi.org/10.1186/s12859-021-04354-7

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