Estimation of secondary effect parameters in glycaemic dynamics using accumulating data from a virtual type 1 diabetic patient

DOI10.1016/j.mbs.2015.06.002zbMath1356.92040OpenAlexW656357735WikidataQ30975448 ScholiaQ30975448MaRDI QIDQ899084

Liam M. Fisk, Erin J. Mansell, Paul D. Docherty, J. Geoffrey Chase

Publication date: 21 December 2015

Published in: Mathematical Biosciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.mbs.2015.06.002

zbMATH Keywords

Monte Carloparameter identificationstressGauss-Newtontype 1 diabetesglycaemic control

Mathematics Subject Classification ID

Kinetics in biochemical problems (pharmacokinetics, enzyme kinetics, etc.) (92C45) Biochemistry, molecular biology (92C40)

Related Items (1)

Optimal impulsive blood glucose control through multiple injections

Uses Software

• DAISY

Cites Work

• An adaptive clinical Type 1 diabetes control protocol to optimize conventional self‐monitoring blood glucose and multiple daily‐injection therapy

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