Background: Breast cancer remains a substantial cause of morbidity and mortality, there is a need for continued efforts to understand the etiology of the disease, maintain screening effort, implement prevention strategies, and develop better treatments.Objective: To analyze the risk factors, improve early detection and prevention of breast cancer in Al-Russafa district- Baghdad, aiming to increase survival rate and improve the quality of life.Methods: A cross sectional audit of 258 breast cancer cases seen at Al-Elwiya maternity teaching hospital from January2009 to December 2011,data collected from patients files were: age, gender , residency, marital status, parity, age at menarche and menopause age at first live birth, hormonal therapy, social habit, previous breast diseases, breast feeding and family history of breast cancer.Results: Two hundred fifty eight female diagnosed with breast cancer, age ranging from 20 to 79 years. Breast cancer was more prevalent in the fourth and fifth decade of life. The distribution was according to residency sectors, 10% were unmarried; fourteen percent nultiparous, the age at menarche was prevalent in 12 and 13 years old. Menopa-ausal age was at the fifth decade and age of patients at first live child at twenties. Forty two % received contraceptive hormonal therapy, 15% had previous breast diseases, 20% with family history of breast cancer, 24% non-breastfeeding and 6% smokers.Conclusion: Risk factors of breast cancer in Baghdad is a perplexing issue and needs a privy analysis as the disease has a para amount importance with increasing incidence in last decade. Knowing the risk factors for breast cancer may help us take preventive measures to reduce the likelihood of developing the disease and develop better treatment.Keywords: Breast cancer, Risk factors, surgical audit.Background: Breast cancer remains a substantial cause of morbidity and mortality, there is a need for continued efforts to understand the etiology of the disease, maintain screening effort, implement prevention strategies, and develop better treatments.Objective: To analyze the risk factors, improve early detection and prevention of breast cancer in Al-Russafa district- Baghdad, aiming to increase survival rate and improve the quality of life.Methods: A cross sectional audit of 258 breast cancer cases seen at Al-Elwiya maternity teaching hospital from January2009 to December 2011,data collected from patients files were: age, gender , residency, marital status, parity, age at menarche and menopause age at first live birth, hormonal therapy, social habit, previous breast diseases, breast feeding and family history of breast cancer.Results: Two hundred fifty eight female diagnosed with breast cancer, age ranging from 20 to 79 years. Breast cancer was more prevalent in the fourth and fifth decade of life. The distribution was according to residency sectors, 10% were unmarried; fourteen percent nultiparous, the age at menarche was prevalent in 12 and 13 years old. Menopa-ausal age was at the fifth decade and age of patients at first live child at twenties. Forty two % received contraceptive hormonal therapy, 15% had previous breast diseases, 20% with family history of breast cancer, 24% non-breastfeeding and 6% smokers.Conclusion: Risk factors of breast cancer in Baghdad is a perplexing issue and needs a privy analysis as the disease has a para amount importance with increasing incidence in last decade. Knowing the risk factors for breast cancer may help us take preventive measures to reduce the likelihood of developing the disease and develop better treatment.
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Problem: Cancer is regarded as one of the world's deadliest diseases. Machine learning and its new branch (deep learning) algorithms can facilitate the way of dealing with cancer, especially in the field of cancer prevention and detection. Traditional ways of analyzing cancer data have their limits, and cancer data is growing quickly. This makes it possible for deep learning to move forward with its powerful abilities to analyze and process cancer data. Aims: In the current study, a deep-learning medical support system for the prediction of lung cancer is presented. Methods: The study uses three different deep learning models (EfficientNetB3, ResNet50 and ResNet101) with the transfer learning concept. The three models are trained using a
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Abstract :
In view of the fact that high blood pressure is one of the serious human diseases that a person can get without having to feel them, which is caused by many reasons therefore it became necessary to do research in this subject and to express these many factors by specific causes through studying it using (factor analysis).
So the researcher got to the five factors that explains only 71% of the total variation in this phenomenon is the subject of the research, where ((overweight)) and ((alcohol in abundance)) and ((smoking)) and ((lack of exercise)) are the reasons that influential the most in the incidence of this disease.
Background: Most adult smokers start smoking regularly some time before 18 years of age. Cigarette smoking is a major ‘preventable’ cause of morbidity and mortality worldwide. It is well-known that smoking has hazardous effect on many systems like pulmonary and cardiovascular system.
Objectives: Study the prevalence of smoking among school pupils according to the mode of smoking, age, school grade, school environment and possible health risk associated with smoking. Type of the study: A cross-sectional study.
Methods: Study was conducted between 1st of March 2014 to 30th of May 2014 at Al-Doura/Al- Kurkh/Baghdad by using convenient sample, including all pupils from 6 schools. The schools were 2 secondary schools, 3 in
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Abstract The present study on the prevalence of intestinal parasitic infection from July 2003 to July 2004 ,was conducted among children aged(less than 5 -14 )years attending AL-Daura Health Centre in Baghdad City .(350) specimen were choosen randomly and examined, 160(45.7%) of these were infected , 140 (87.5%) harboured one parasite while 20 (12.5%) harboured more than one parasite.190 (54.3%) were non infected with any of intestinal parasite . It was observed that the most common intestinal protozoa among children is Giardia lamblia, followed by Entamoeba histolytica and Blastocystis hominis with pre
This study is aimed to Green-synthesize and characterize Al NPs from Clove (Syzygium aromaticum
L.) buds plant extract and to investigate their effect on isolated and characterized Salmonella enterica growth.
S. aromaticum buds aqueous extract was prepared from local market clove, then mixed with Aluminum nitrate
Al(NO3)3. 9 H2O, 99.9% in ¼ ratio for green-synthesizing of Al NPs. Color change was a primary confirmation
of Al NPs biosynthesis. The biosynthesized nanoparticles were identified and characterized by AFM, SEM,
EDX and UV–Visible spectrophotometer. AFM data recorded 122nm particles size and the surface roughness
RMs) of the pure S. aromaticum buds aqueous extract recorded 17.5nm particles s
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The research team seeks to study the phenomena of random housing in Iraqi society in general and Baghdad city in particular by standing on the causes behind this phenomena and its relation with security situation in Baghdad. The researchers adopted a theoretical and practical framework. The main objective is to diagnose the risks caused by the escalation of slums in Baghdad city.
The study includes collection of data about cholera disease from six health centers from nine locations with 2500km2 and a population of 750000individual. The average of infection for six centers during the 2000-2003 was recorded. There were 3007 cases of diarrhea diagnosed as cholera caused by Vibrio cholerae. The percentage of male infection was 14. 7% while for female were 13. 2%. The percentage of infection for children (less than one year) was 6.1%, it while for the age (1-5 years) was 6.9%and for the ages more than 5 years was 14.5%.The total percentage of the patients stayed in hospital was 7.7%(4.2%for male and 3.4%for female). The bacteria was isolated and identified from 7cases in the Central Laboratory for Health in Baghdad. In
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The general objective of the research is to better understand changes in land cover and their impact on climatic factors by measuring changes in land cover for the Baghdad city for the period 1999-2021 and evaluating changes in land cover and measuring changes in climatic factors (relative humidity and evaporation). This study from 1999 to 2021 and in two different seasons: the April of the growing season and August the dry season. When using the supervised classification method to determine the differences, the results showed remarkable changes, the study showed the spatial variations in LC from 1999 to 2021 as follows: increase in the vegetation and water bodies during April and decrease this in August while the soil and built up decreas
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Integrated project delivery is collaboratively applying the skills and knowledge of all participants to optimize the project's results, increase owner value, decrease waste, and maximize efficiency during the design, fabrication, and construction processes. This study aims to determine IPD criteria positively impacting value engineering. To do this, the study has considered 9 main criteria according to PMP classification that already covers all project phases and 183 sub-criteria obtained from theoretical study and expert interviews (fieldwork). In this study, the SPSS (V26) program was used to analyze the main criteria and sub-criteria priorities from top to bottom according to their values of the Relative Importance In
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