Analysis of Methods for Calculating Optimal Parameters for Insulin Boluses in Automated Insulin Therapy Systems with Control Based on Predictive Models.
Methods and algorithms suitable for solving stiff systems of nonlinear differential equations used in mathematical modeling of blood glucose dynamics are discussed, along with multivariate optimization algorithms for finding optimal values for insulin bolus parameters. The results show that use of a...
| Publicado en: | Biomedical Engineering Vol. 57; no. 2; pp. 102 - 107 |
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| Autores principales: | , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Springer Nature
Jul2023
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=164579964&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 164579964 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 00063398 N96 jtl: Biomedical Engineering issn: 00063398 maglogo: N pubinfo: dt: Jul2023 vid: 57 iid: 2 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 164579964 164322278 164579964 164579964 10.1007/s10527-023-10278-8 164579964 ppf: 102 ppct: 5 formats: tig: atl: Analysis of Methods for Calculating Optimal Parameters for Insulin Boluses in Automated Insulin Therapy Systems with Control Based on Predictive Models. aug: au: Chuprakov, D. A. Pozhar, K. V. affil: Institute of Biomedical Systems, National Research University of Electronic Technology, Zelenograd, Moscow, Russia sug: subj: Insulin Therapeutic Use Multivariate Statistics Algorithms Blood Glucose Monitoring Diabetes Mellitus, Type 1 Glucose Intolerance Glucose Metabolism Disorders Prevention and Control Diagnosis, Differential Human Prediction Models Funding Source Descriptive Statistics Methodological Research ab: Methods and algorithms suitable for solving stiff systems of nonlinear differential equations used in mathematical modeling of blood glucose dynamics are discussed, along with multivariate optimization algorithms for finding optimal values for insulin bolus parameters. The results show that use of an Adams/BDF hybrid algorithm (LSODA) allows the systems of equations of the mathematical model to be solved with maximal efficiency, while the COBYLA optimization method provides the greatest accuracy and speed of finding the maximum of the efficiency function. These methods can be used in automated insulin therapy systems with control based on predictive models for calculating insulin boluses. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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