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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Format: | Article |
Language: | English |
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Gdańsk University of Technology
1997-10-01
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Series: | TASK Quarterly |
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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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first_indexed | 2024-04-13T09:07:53Z |
format | Article |
id | doaj.art-0b1f696ccfc14505bd8e25dd0aa211fa |
institution | Directory Open Access Journal |
issn | 1428-6394 |
language | English |
last_indexed | 2024-04-13T09:07:53Z |
publishDate | 1997-10-01 |
publisher | Gdańsk University of Technology |
record_format | Article |
series | TASK Quarterly |
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 |