SBML for optimizing decision support's tools
| Autor: | Dalila Hamami, Baghdad Atmani |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2013 |
| Předmět: |
Computational Engineering
Finance and Science (cs.CE) FOS: Computer and information sciences Decision support system Order (exchange) Computer science Narrative SBML Epidemic model Computer Science - Computational Engineering Finance and Science Data science Field (computer science) Variety (cybernetics) |
| Popis: | Many theoretical works and tools on epidemiological field reflect the emphasis on decision-making Tools by both public health and the scientific community, which continues to increase. Indeed, in the epidemiological field, modeling tools are proving a very important way in helping to make decision. However, the variety, the large volume of data and the nature of epidemics lead us to seek solutions to alleviate the heavy burden imposed on both experts and developers. In this paper, we present a new approach: the passage of an epidemic model realized in Bio-PEPA to a narrative language using the basics of SBML language. Our goal is to allow on one hand, epidemiologists to verify and validate the model, and the other hand, developers to optimize the model in order to achieve a better model of decision making. We also present some preliminary results and some suggestions to improve the simulated model. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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