A global methodology for modeling and simulating medical systems
| Autor: | Ch. El-Gemayel, D. Zaouk, Nacer Abouchi, J. Constantin, F. Jumel |
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| Rok vydání: | 2014 |
| Předmět: |
Mathematical model
Computer science Management science business.industry Quality of service media_common.quotation_subject Control (management) Experimental data Machine learning computer.software_genre Modeling and simulation Set (abstract data type) Quality (business) Artificial intelligence Representation (mathematics) business computer media_common |
| Zdroj: | Healthcom |
| DOI: | 10.1109/healthcom.2014.7001887 |
| Popis: | A mathematical representation of patient or device is presented by a number of variables which are defined to represent the inputs, outputs and a set of equations describing the interaction of these variables. This paper proposes a global methodology for modeling and simulation medical systems and human body, in order to analyze the performance and the quality of services of all system components. Beginning by defining a new prototype of a global and flexible architecture of mathematical model of human body, that is able to contain required data. Then, describing the simulations representation, by mentions in details the core simulator components, analyzer, and the quality of services indicators. Simulation of mathematical models provides useful tools for diagnosis and analyzing the interactions between efficacy, therapies, side-effects, and outcomes. This will help to better understand the human organism control, to analyze experimental data, to identify and quantify relevant biophysical parameters and to design clinical trials. |
| Databáze: | OpenAIRE |
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