PREDICTION OF ENDOCRINE SYSTEM AFFECTATION IN FISHER 344 RATS BY FOOD INTAKE EXPOSED WITH MALATHION, APPLYING NAÏVE BAYES CLASSIFIER AND GENETIC ALGORITHMS

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SANDINO MORA JUAN DAVID; HURTADO DARIO AMAYA; RAMOS SANDOVAL OLGA LUCIA

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Journal: INTERNATIONAL JOURNAL OF PREVENTIVE MEDICINE Year:2016 | Volume:7 | Issue:- Page(s): 0-0

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Title

PREDICTION OF ENDOCRINE SYSTEM AFFECTATION IN FISHER 344 RATS BY FOOD INTAKE EXPOSED WITH MALATHION, APPLYING NAÏVE BAYES CLASSIFIER AND GENETIC ALGORITHMS

Author(s)

SANDINO MORA JUAN DAVID | HURTADO DARIO AMAYA | RAMOS SANDOVAL OLGA LUCIA

Keywords

ARTIFICIAL INTELLIGENCE

MACHINE LEARNING

ORGANOPHOSPHATE

RAT

Abstract

Background: Reported cases of uncontrolled use of pesticides and its produced effects by director indirect exposition, represent a high risk for human health. Therefore, in this paper, it is shownthe results of the development and execution of an algorithm that predicts the possible effects inendocrine system in Fisher 344 (F344) rats, occasioned by ingestion of malathion.Methods: It was referred to ToxRefDB database in which different case studies in F344 ratsexposed to malathion were collected. The experimental data were processed using NaïveBayes (NB) machine learning classifier, which was subsequently optimized using geneticalgorithms (GAs). The model was executed in an application with a graphical user interfaceprogrammed in C#.Results: There was a tendency to suffer bigger alterations, increasing levels in the parathyroidgland in dosages between 4 and 5 mg/kg/day, in contrast to the thyroid gland for doses between739 and 868 mg/kg/day. It was showed a greater resistance for females to contract effects onthe endocrine system by the ingestion of malathion. Females were more susceptible to sufferalterations in the pituitary gland with exposure times between 3 and 6 months.Conclusions: The prediction model based on NB classifiers allowed to analyze all the possiblecombinations of the studied variables and improving its accuracy using GAs. Excepting thepituitary gland, females demonstrated better resistance to contract effects by increasing levelson the rest of endocrine system glands.

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APA: Copy

SANDINO MORA, JUAN DAVID, HURTADO, DARIO AMAYA, & RAMOS SANDOVAL, OLGA LUCIA. (2016). PREDICTION OF ENDOCRINE SYSTEM AFFECTATION IN FISHER 344 RATS BY FOOD INTAKE EXPOSED WITH MALATHION, APPLYING NAIVE BAYES CLASSIFIER AND GENETIC ALGORITHMS. INTERNATIONAL JOURNAL OF PREVENTIVE MEDICINE, 7(-), 0-0. SID. https://sid.ir/paper/316413/en

Vancouver: Copy

SANDINO MORA JUAN DAVID, HURTADO DARIO AMAYA, RAMOS SANDOVAL OLGA LUCIA. PREDICTION OF ENDOCRINE SYSTEM AFFECTATION IN FISHER 344 RATS BY FOOD INTAKE EXPOSED WITH MALATHION, APPLYING NAIVE BAYES CLASSIFIER AND GENETIC ALGORITHMS. INTERNATIONAL JOURNAL OF PREVENTIVE MEDICINE[Internet]. 2016;7(-):0-0. Available from: https://sid.ir/paper/316413/en

IEEE: Copy

JUAN DAVID SANDINO MORA, DARIO AMAYA HURTADO, and OLGA LUCIA RAMOS SANDOVAL, “PREDICTION OF ENDOCRINE SYSTEM AFFECTATION IN FISHER 344 RATS BY FOOD INTAKE EXPOSED WITH MALATHION, APPLYING NAIVE BAYES CLASSIFIER AND GENETIC ALGORITHMS,” INTERNATIONAL JOURNAL OF PREVENTIVE MEDICINE, vol. 7, no. -, pp. 0–0, 2016, [Online]. Available: https://sid.ir/paper/316413/en

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