پیش بینی های قند خون در روسیه: ارزیابی کاربرد روش های آماری

This paper compares the accuracy of different statistical methods for influenza peaks prediction. The research demonstrates the performance of long short-term memory neural networks along with the results obtained by proved statistical methods, which are the Serfling model, averaging and point-to-point estimates. The prediction accuracy of the methods is compared with the accuracy of the modeling approaches. Possible applications of the methods and the ways to improve their accuracy are discussed.