A Gaussian process model for insulin secretion reconstruction with uncertainty quantification: applications in cystic fibrosis

DOI10.1137/22M1506225zbMATH Open1544.92078MaRDI QIDQ6597811

Douglas Nychka, Justin Garrish, Cecilia Diniz Behn, Christine W. Chan

Publication date: 4 September 2024

Published in: SIAM Journal on Applied Mathematics (Search for Journal in Brave)

zbMATH Keywords

Gaussian processmetabolismmathematical modeluncertainty quantificationC-peptide

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonlinear ordinary differential equations and systems (34A34) Medical applications (general) (92C50)

Cites Work

• A molecular mathematical model of glucose mobilization and uptake
• Interpolation of spatial data. Some theory for kriging
• Nonparametric input estimation in physiological systems: Problems, methods, and case studies
• Numerical non-identifiability regions of the minimal model of glucose kinetics: Superiority of Bayesian estimation
• Kernel-based Approximation Methods using MATLAB

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