Forecasting drug demand in the country

Analyzing the amount of sales of drugs consumed in the country plays an important role in providing the country’s drug demand in different treatment groups. In this challenge, we plan to predict the amount of drug demand registered by Hamadan University of Medical Sciences with artificial intelligence models. The available information is related to daily and monthly data, and the forecast should be made in the form of both time frames. The results will be evaluated in the form of the root mean square error (RMSE) measure.