Objective:
This study aims to asses the patients' compliance with essential hypertension in respect to antihypertensive
medications, follow-up, dietary pattern and health habits, to identify the associated long-term complications, and
to find out the relationship between patient's compliance, and demographic characteristics such as age, gender,
level of education, and duration of disease.
Methodology:
A descriptive study was carried out in Nasiriyah Teaching Hospital to achieve presented objectives .
Results:
The results of the study revealed that there were a significant association between educational level and total
patient's compliance, a significant association was found between the duration of disease and complications, the
majority (63%) of the sample was non-complaint, most of them was males with low level of education and
(70%) of them had complications. A greater number (21%) suffering from (Cerebrovascular accident).
Recommendation:
The research recommends that establishing well-equipped specialized hypertension clinics, educational program
should be designed, antihypertensive drugs should be supported by government, antihypertensive medications
must be obtained from the out patient clinic to avoid buying them from private pharmacies to maintain patients
compliance, and further study can be conducted in Iraq to determine the impact of non-compliance of patients
with essential hypertension.
. In recent years, Bitcoin has become the most widely used blockchain platform in business and finance. The goal of this work is to find a viable prediction model that incorporates and perhaps improves on a combination of available models. Among the techniques utilized in this paper are exponential smoothing, ARIMA, artificial neural networks (ANNs) models, and prediction combination models. The study's most obvious discovery is that artificial intelligence models improve the results of compound prediction models. The second key discovery was that a strong combination forecasting model that responds to the multiple fluctuations that occur in the bitcoin time series and Error improvement should be used. Based on the results, the prediction a
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In th
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