Objectives: To identify quality of life (QOL) in Myocardial Infarction (MI) patients, and to find out the
relationship between QOL in MI patients and demographic characteristics.
Methodology: A descriptive colTelation study which utilized an assessment approach. The study was carried out
from March 2007 through November 2007 in order to assess the quality of life for patients with myocardial
infarction. A purposive "non-probability" sample of (75) patients with myocardial infarction who were attending
to Baquba General Hospita`l through their visits to that hospital. A questionnaire was adapted and developed
from the World Health Organization Quality of Life Scale (1998). The questionnaire was designed and
consisted of (2) parts, the fust part includes demographic characteristics of Myocardial Infarction patients,
clinical characteristics of these patients and medical sheet information. The second one consists of six domains
of quality of life. Reliability was determined by using test and retest technique through a Pilot study. Data were
analyzed through descriptive data analysis approach (Frequency and percentage) and the inferential data analysis
approach (Pearson con.elation coefficient and chi-square).
Results: The results of the study indicated that (53.3%) of the sample was male and (41.7%), age between (61-
70) years, (68.0%) was married and more than two third of sample were unable to read and write, (44%) of the
sample was housewife (do not work). The findings of the study present that the demographic characteristics of
MI patients such as gender, level of education had a significant relationship with their quality of life. The
socioeconomjc characteristics of patients such as marital status hnd no significant relationship with the patients'
quality of life. The finding also shows disease had moderate, low and no effect on quality of life through the
relative sufficiency from the spiritual domain (RS=83.8), the independence (RS=76.9), psychological domain
(RS=76.7), physical domain (RS=74.6), social domain a`S=69.9), and environment domain (RS=62.3).
Recommendations: The study recommended that an educational program for MI patients to help them have a
better QOL and advice them how to cope with their problems for a good QOL.
Most companies use social media data for business. Sentiment analysis automatically gathers analyses and summarizes this type of data. Managing unstructured social media data is difficult. Noisy data is a challenge to sentiment analysis. Since over 50% of the sentiment analysis process is data pre-processing, processing big social media data is challenging too. If pre-processing is carried out correctly, data accuracy may improve. Also, sentiment analysis workflow is highly dependent. Because no pre-processing technique works well in all situations or with all data sources, choosing the most important ones is crucial. Prioritization is an excellent technique for choosing the most important ones. As one of many Multi-Criteria Decision Mak
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Through research and research in the creative composition in the poetry of Zafer-Alhaddad it turned out to be superior in its systems, especially that he chose a linguistic and verbal texture accompanied by a cultural dictionary full of creativity and beauty helped this culture arrangement reflects the poetically wonderful and beautiful custom led to the harmony of colors and bodies painted by the poet brush the creative artist evaluates the metaphorical and metaphorical relations that would explain the poets idea, most of which were inspired by the wonderful spirit of nature, its beautiful landscapes and bright colors, especially that we do not forget the beautiful colors and the aesthetic touch that created a fascinating musical intera
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