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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...
Autores principales: | Stolfi, Paola, Castiglione, Filippo |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
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 |
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