Animal experiments data: Structural analysis and design a model for determining lethal drug dosage


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Authors

  • A BABANLI
  • A GUNES

Keywords:

Animal experiment data, Data analysis, Decision tree, Rule-based model

Abstract

The ACD-IDEA database, originally developed by the authors, stores main results of scientific publications on animal experiments realized around the world during the last 100 years. In this paper a common statistical analysis of this database is presented. On the basis of the knowledge extracted from this database, a rule-based model is developed
that is able to estimate lethal drug dosages for a given groups of compounds and animals. A decision tree is designed
and a set of association rules with exceptions is created. This model can be used for determining lethal dosage values for
drugs of the category “General anesthetic compounds†and for animals of the group “rabbit, cat, dog, guinea pigâ€. This
model can also be used in a diverse set of problems of pharmacological research and education.

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Author Biographies

  • A BABANLI
    Researcher, nbul Aydin University, Besyol Mah. Kucukcekmece, Istanbul, Turkey

  • A GUNES
    Researcher, nbul Aydin University, Besyol Mah. Kucukcekmece, Istanbul, Turkey

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How to Cite

BABANLI, A., & GUNES, A. (2013). Animal experiments data: Structural analysis and design a model for determining lethal drug dosage. The Indian Journal of Animal Sciences, 83(8). https://epubs.icar.org.in/index.php/IJAnS/article/view/32074