期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2021
卷号：99
期号：15
语种：English
出版社：Journal of Theoretical and Applied
摘要：The following investigation is based upon the treated patients� data of the East-Kazakhstan region and information about the level of emissions in Ust-Kamenogorsk for the same period. The analysis resulted in correlation between specific diseases and industrial emissions. The study of the influence of environmental factors on the health of the population and the risk of disease is an urgent and demanded task. The idea of the work: to identify and quantify the relationship between atmospheric pollution by emissions of harmful substances from industrial enterprises with the damage caused to the health of the population. The purpose of the work: to develop, on the basis of theoretical research and processing of statistical materials, a methodology for predicting the negative impact of harmful emissions on the health of the population. The research was constructed with neuro-net modelling technology. �Intelligent information system of Assessing the negative impact of industrial emissions on human health (on the example of Ust-Kamenogorsk data)� based on neural network technology was created to automate tasks. The information system was developed using the C # programming environment. A certificate on data registration in the state register of copyrighted objects of the Republic of Kazakhstan No. 16777, from April 20, 2021 (see Figure 10) was received.
