Emulating complex simulations by machine learning methods

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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Bibliographic Details
Main Authors: Castiglione, F. (Author), Stolfi, P. (Author)
Format: Article
Language:English
Published: BioMed Central Ltd 2021
Subjects:
algorithm
Algorithms
Complex biological systems
Complex simulation
Computational costs
Computational modelling
Diabetes Mellitus, Type 2
Emulation
Forecasting
human
Humans
Learning algorithms
machine learning
Machine learning
Machine Learning
Machine learning methods
Mean square error
Metabolism
non insulin dependent diabetes mellitus
Ordinary differential equations
Risk assessment
Risk prediction
Risk predictions
Self-assessment
Self-monitoring
Simulators
Type-2 diabetes
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