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SELECTION OF THE MATHEMATICAL MODEL FOR THE USE OF ENROFLOXACIN IN CATS
Author(s) -
Galya Shivacheva,
Miroslav Vasilev
Publication year - 2019
Publication title -
applied researches in technics, technologies and education
Language(s) - English
Resource type - Journals
eISSN - 1314-8796
pISSN - 1314-8788
DOI - 10.15547/artte.2019.04.006
Subject(s) - akaike information criterion , enrofloxacin , mathematics , ordinary differential equation , selection (genetic algorithm) , model selection , differential (mechanical device) , differential equation , statistics , mathematical analysis , computer science , biology , thermodynamics , physics , machine learning , antibiotics , ciprofloxacin , microbiology and biotechnology
The process of changing the concentration of enrofloxacin in blood plasma in cats after single intravenous injection was identified by three mathematical models - algebraic and two models represented respectively by a first order differential equation and a second order differential equation. In order to select the best model of the three, the Akaike information criterion corrected is used. With the most identification parameters differs the model based on a second-order differential equation. The lowest value of the Akaike information criterion corrected was also obtained with it. This fact gives reason to choose it for the best model for describing the research process.

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