OPTIMAL MULTICOMPARTMENTAL EXPERIMENT DESIGN

Compartmental modelling of biomedical systems, devoted to e.g. optimal therapy design, provides us with a compartmental system, the associated set of differential equations, and a number of unknown parameters. We estimate values of the unknown parameters so that we obtain a best fit of the model in...

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Main Author: RENATA KALICKA
Format: Article
Language:English
Published: Gdańsk University of Technology 1997-10-01
Series:TASK Quarterly
Subjects:
-
Online Access:https://journal.mostwiedzy.pl/TASKQuarterly/article/view/2339
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author RENATA KALICKA
author_facet RENATA KALICKA
author_sort RENATA KALICKA
collection DOAJ
description Compartmental modelling of biomedical systems, devoted to e.g. optimal therapy design, provides us with a compartmental system, the associated set of differential equations, and a number of unknown parameters. We estimate values of the unknown parameters so that we obtain a best fit of the model input-output behaviour to the experimental data. If the fit is not satisfactory, we remodel the structure of the system or/and reorganise the experiment design, and re-estimate the parameters. This is an iterative process, leading to the best model structure described with the most accurate values of its parameters. For satisfactory solution of the problem of optimal experiment design three co-operating computer programs are designed: MFIT, OSSP and OIN. MFIT enables to choose the best from any reasonable model functions. Reduced optimal sampling schedule (OSSP) and optimal input signal (OIN) allow to get the most accurate parameters’ value. They operate on the basis of output files of MFIT. The final optimal experiment design is obtained by repeating the procedures.
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spelling doaj.art-0b1f696ccfc14505bd8e25dd0aa211fa2022-12-22T02:52:57ZengGdańsk University of TechnologyTASK Quarterly1428-63941997-10-0112OPTIMAL MULTICOMPARTMENTAL EXPERIMENT DESIGNRENATA KALICKA0Technical University of Gdansk, Faculty of Electronics Telecommunications and Informatics, Department of Medical and Ecological Electronics Compartmental modelling of biomedical systems, devoted to e.g. optimal therapy design, provides us with a compartmental system, the associated set of differential equations, and a number of unknown parameters. We estimate values of the unknown parameters so that we obtain a best fit of the model input-output behaviour to the experimental data. If the fit is not satisfactory, we remodel the structure of the system or/and reorganise the experiment design, and re-estimate the parameters. This is an iterative process, leading to the best model structure described with the most accurate values of its parameters. For satisfactory solution of the problem of optimal experiment design three co-operating computer programs are designed: MFIT, OSSP and OIN. MFIT enables to choose the best from any reasonable model functions. Reduced optimal sampling schedule (OSSP) and optimal input signal (OIN) allow to get the most accurate parameters’ value. They operate on the basis of output files of MFIT. The final optimal experiment design is obtained by repeating the procedures. https://journal.mostwiedzy.pl/TASKQuarterly/article/view/2339-
spellingShingle RENATA KALICKA
OPTIMAL MULTICOMPARTMENTAL EXPERIMENT DESIGN
TASK Quarterly
-
title OPTIMAL MULTICOMPARTMENTAL EXPERIMENT DESIGN
title_full OPTIMAL MULTICOMPARTMENTAL EXPERIMENT DESIGN
title_fullStr OPTIMAL MULTICOMPARTMENTAL EXPERIMENT DESIGN
title_full_unstemmed OPTIMAL MULTICOMPARTMENTAL EXPERIMENT DESIGN
title_short OPTIMAL MULTICOMPARTMENTAL EXPERIMENT DESIGN
title_sort optimal multicompartmental experiment design
topic -
url https://journal.mostwiedzy.pl/TASKQuarterly/article/view/2339
work_keys_str_mv AT renatakalicka optimalmulticompartmentalexperimentdesign