In this study, neural recurrent neural networks (RNN) have been used to forecast the price of dollars in Iraqi dinars, as it is clear that the government's efforts to control prices in the parallel markets, the commercial markets witnessed a decline in the exchange rate, but it rose again. Which indicates an economic problem that is still present in the country. Despite adjusting the exchange rate of the dinar, the dollar crisis in Iraq has not ended yet. Here we want to forecast the daily price of the dollar against Iraqi dinars for the common next 30 days. According to the results the RNN model have been performed for the data under consideration with different numbers of hidden layer and nodes. The best architecture for the RNN model was [1,10,1,1] using soft plus activation function, which gives the performance of 85% for the training dataset and (92% and 90%) for the testing and validation datasets respectively, with Mse (0.018, 0.000417, and 0.000477) for training, testing, and validation respectively at epoch 4. According to the results of the forecasted values which start from 15 May 2023 to 13 June 2023 the price of dollars will be between 1390 to 1435.

Based on medical exchange and medical information processing theories with statistical tools, our study proposes and tests a research model that investigates main factors behind abortion issue. Data were collected from the survey of Maternity hospital in Sulaimani, Kurdistan-Iraq. Structural Equation Modelling (SEM) is a powerful technique as it estimates the causal relationship between more than one dependent variable and many independent variables, which is ability to incorporate quantitative and qualitative data, and it shows how all latent variables are related to each other. The dependent latent variable in SEM which have one-way arrows pointing to them is called endogenous variable while others are exogenous variables. The structural equation modeling results reveal is underlying mechanism through which statistical tools, as relationship between factors; previous disease information, food and drug information, patient address, mother’s information, abortion information, which are caused abortion problem. Simply stated, the empirical data support the study hypothesis and the research model we have proposed is viable. The data of the study were obtained from a survey of Maternity hospital in Sulaimani, Kurdistan-Iraq, which is in close contact with patients for long periods, and it is number one area for pregnant women to obtain information about the abortion issue. The results shows arrangement about factors effectiveness as mentioned at section five of the study. This gives the conclusion that abortion problem must be more concern than the other pregnancy problem.