Objective: To assess the Impact of Socio-economic status on age at menarche among secondary school students at
AL-Dora city in Baghdad, Iraq.
Methodology: This is a cross sectional study with multi-stage sampling was carried out during the period from the
3
th of December2013 to 12th of March 2014. The Sample comprised of 1760 girls, 1510 girls from urban area and
250 from rural area was included in the study. In first stage, selection of schools was done, and one class was
selected randomly from each level of Education, The data collection through a special questionnaire which Contain
the age of girl by year, class level, birth order, number of household, number of rooms, residency (urban/rural),
education level of parents, occupation of parents.
Results: The study showed that the mean age at menarche for adolescent secondary school girls in Al-Dora
was12.49±0.99 years, and the mean age at menarche of girls living in the urban area were 12.4±1.0 while 12.9±1.1
year for girls living in the rural area, which give a significant association, so the girls from urban area had earlier
menarche age than rural area, and earlier age at menarche of those girls who had fewer number of siblings than
those who had more siblings, Also the study discovered an earlier age at menarche in those girls whose Parents’
had a high educational level, occupation of mothers, While there was no association between occupation of father
and age at menarche.
Recommendation: According to the findings of the present study we recommended to further elaborated study is
required to estimate the age of menarche of Iraqi girls, because menarche age can vary by location, it may not be
possible to generalize these results to other communities in the Iraq government
The Machine learning methods, which are one of the most important branches of promising artificial intelligence, have great importance in all sciences such as engineering, medical, and also recently involved widely in statistical sciences and its various branches, including analysis of survival, as it can be considered a new branch used to estimate the survival and was parallel with parametric, nonparametric and semi-parametric methods that are widely used to estimate survival in statistical research. In this paper, the estimate of survival based on medical images of patients with breast cancer who receive their treatment in Iraqi hospitals was discussed. Three algorithms for feature extraction were explained: The first principal compone
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There
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Gaining the relationship between the central government and local governments is great importance especially after the expanded functions of the central government and became unable to carry out their works without all that delegate or transfer parts of its powers to lower levels.
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