Predict the relationship between autism and the use of smart devices by children in the coming years using neural networks

Abstract

Recently, autism has been particularly widespread among children. It is no secret that the use of smart devices has a significant impact on the emergence of this disease directly or indirectly. In this research, the disease was studied in two ways: First, identify the symptoms of the disease through a questionnaire that shows how to use smart devices by children and identify the disease by answering it. By using an artificial neural network, anyone can determine whether a person is infected or not. The second part is to determine the statistics of the disease in previous years and through the proportion extracted by the number of infected through the questionnaire can predict the number of infected in subsequent years and also using artificial neural networks. Through the results, we have been able to know the proportion of infected in subsequent years and thus can address this disease and make the use of smart devices are part of the treatment and not the one that helps the emergence of the disease. To complete this search using VB language.