eng Oriental Scientific Publishing Company Biosciences Biotechnology Research Asia 0973-1245 2017-12-25 14 4 1291 1297 10.13005/bbra/2572 28386 article Juan David Sandino 1 Dario Amaya Hurtado 1 Olga Lucia Ramos 1 Virtual Applications Group-GAV, Universidad Militar Nueva Granada –UMNG. Improper application of pesticides in agricultural crops and indirect effects caused by exposure to them through consumption of contaminated crops, nowadays represent a serious risk to public health harmony. It is vital then, to know the degree of toxicity of each of these chemicals in order to properly regulate its application and sensitize the population at risk. Therefore, this paper shows the results of an algorithm with the ability to predict the effects on the reproductive system in Sprague Dawley rats, caused by the intake of food exposed with Fenthion. The original data were processed using the Naïve Bayes classifier, then optimized using genetic algorithms. It is concluded that the prediction algorithm does the job properly, processing qualitative information with relatively low computational cost, which allows its easy portability to different development platforms. https://www.biotech-asia.org/vol14no4/prediction-of-reproductive-system-affectation-in-sprague-dawley-rats-by-food-intake-exposed-with-fenthion-using-naive-bayes-classifier-and-genetic-algorithms/ Artificial Intelligence; Machine Learning; Organophosphate