Grey-box modelling of pharmacokinetic/pharmacodynamic systems

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Standard

Grey-box modelling of pharmacokinetic/pharmacodynamic systems. / Tornøe, Christoffer Wenzel; Jacobsen, Judith L; Pedersen, Oluf; Hansen, Torben; Madsen, Henrik Tækker.

I: Journal of Pharmacokinetics and Pharmacodynamics, Bind 31, Nr. 5, 2004, s. 401-17.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Tornøe, CW, Jacobsen, JL, Pedersen, O, Hansen, T & Madsen, HT 2004, 'Grey-box modelling of pharmacokinetic/pharmacodynamic systems', Journal of Pharmacokinetics and Pharmacodynamics, bind 31, nr. 5, s. 401-17.

APA

Tornøe, C. W., Jacobsen, J. L., Pedersen, O., Hansen, T., & Madsen, H. T. (2004). Grey-box modelling of pharmacokinetic/pharmacodynamic systems. Journal of Pharmacokinetics and Pharmacodynamics, 31(5), 401-17.

Vancouver

Tornøe CW, Jacobsen JL, Pedersen O, Hansen T, Madsen HT. Grey-box modelling of pharmacokinetic/pharmacodynamic systems. Journal of Pharmacokinetics and Pharmacodynamics. 2004;31(5):401-17.

Author

Tornøe, Christoffer Wenzel ; Jacobsen, Judith L ; Pedersen, Oluf ; Hansen, Torben ; Madsen, Henrik Tækker. / Grey-box modelling of pharmacokinetic/pharmacodynamic systems. I: Journal of Pharmacokinetics and Pharmacodynamics. 2004 ; Bind 31, Nr. 5. s. 401-17.

Bibtex

@article{b46e98afbb0f4e4086135ab4e21da93a,
title = "Grey-box modelling of pharmacokinetic/pharmacodynamic systems",
abstract = "Grey-box pharmacokinetic/pharmacodynamic (PK/PD) modelling is presented as a promising way of modelling PK/PD systems. The concept behind grey-box modelling is based on combining physiological knowledge along with information from data in the estimation of model parameters. Grey-box modelling consists of using stochastic differential equations (SDEs) where the stochastic term in the differential equations represents unknown or incorrectly modelled dynamics of the system. The methodology behind the grey-box PK/PD modelling framework for systematic model improvement is illustrated using simulated data and furthermore applied to Bergman's minimal model of glucose kinetics using clinical data from an intravenous glucose tolerance test (IVGTT). The grey-box estimates of the stochastic system noise parameters indicate that the glucose minimal model is too simple and should preferably be revised in order to describe the complicated in vivo system of insulin and glucose following an IVGTT.",
keywords = "Blood Glucose, Glucose Tolerance Test, Humans, Insulin, Models, Biological, Stochastic Processes",
author = "Torn{\o}e, {Christoffer Wenzel} and Jacobsen, {Judith L} and Oluf Pedersen and Torben Hansen and Madsen, {Henrik T{\ae}kker}",
year = "2004",
language = "English",
volume = "31",
pages = "401--17",
journal = "Journal of Pharmacokinetics and Pharmacodynamics",
issn = "1567-567X",
publisher = "Springer",
number = "5",

}

RIS

TY - JOUR

T1 - Grey-box modelling of pharmacokinetic/pharmacodynamic systems

AU - Tornøe, Christoffer Wenzel

AU - Jacobsen, Judith L

AU - Pedersen, Oluf

AU - Hansen, Torben

AU - Madsen, Henrik Tækker

PY - 2004

Y1 - 2004

N2 - Grey-box pharmacokinetic/pharmacodynamic (PK/PD) modelling is presented as a promising way of modelling PK/PD systems. The concept behind grey-box modelling is based on combining physiological knowledge along with information from data in the estimation of model parameters. Grey-box modelling consists of using stochastic differential equations (SDEs) where the stochastic term in the differential equations represents unknown or incorrectly modelled dynamics of the system. The methodology behind the grey-box PK/PD modelling framework for systematic model improvement is illustrated using simulated data and furthermore applied to Bergman's minimal model of glucose kinetics using clinical data from an intravenous glucose tolerance test (IVGTT). The grey-box estimates of the stochastic system noise parameters indicate that the glucose minimal model is too simple and should preferably be revised in order to describe the complicated in vivo system of insulin and glucose following an IVGTT.

AB - Grey-box pharmacokinetic/pharmacodynamic (PK/PD) modelling is presented as a promising way of modelling PK/PD systems. The concept behind grey-box modelling is based on combining physiological knowledge along with information from data in the estimation of model parameters. Grey-box modelling consists of using stochastic differential equations (SDEs) where the stochastic term in the differential equations represents unknown or incorrectly modelled dynamics of the system. The methodology behind the grey-box PK/PD modelling framework for systematic model improvement is illustrated using simulated data and furthermore applied to Bergman's minimal model of glucose kinetics using clinical data from an intravenous glucose tolerance test (IVGTT). The grey-box estimates of the stochastic system noise parameters indicate that the glucose minimal model is too simple and should preferably be revised in order to describe the complicated in vivo system of insulin and glucose following an IVGTT.

KW - Blood Glucose

KW - Glucose Tolerance Test

KW - Humans

KW - Insulin

KW - Models, Biological

KW - Stochastic Processes

M3 - Journal article

C2 - 15669774

VL - 31

SP - 401

EP - 417

JO - Journal of Pharmacokinetics and Pharmacodynamics

JF - Journal of Pharmacokinetics and Pharmacodynamics

SN - 1567-567X

IS - 5

ER -

ID: 38456945