Breast cancer was one of the most common reasons for death among the women in the world. Limited awareness of the seriousness of this disease, shortage number of specialists in hospitals and waiting the diagnostic for a long period time that might increase the probability of expansion the injury cases. Consequently, various machine learning techniques have been formulated to decrease the time taken of decision making for diagnoses the breast cancer and that might minimize the mortality rate. The proposed system consists of two phases. Firstly, data pre-processing (data cleaning, selection) of the data mining are used in the breast cancer dataset taken from the University of California, Irvine machine learning repository in this stage we

Objectives: To assess the relation between breast cancer & blood groups, identify the importance of women
age group and the relation of age with breast cancer.
Methodology: The study was performed on (115) women who were diagnosed with breast cancer in different
stages of disease and different ages. Blood samples were taken from them to demonstrate their blood groups and
(20) fresh tumor tissue samples were obtained; the tumor tissue used as a source of lectin for hemagglutinate
with erythrocyte of different blood groups. The study conducted at Baghdad Teaching Hospital and Radiation &
Nuclear Medicine Hospital from January, 2007 through June 2007.
Results: The study shows that the highest percentage of women

This cross-sectional, questionnaire-based study evaluated the knowledge, attitude and practice towards breast cancer and breast self-examination [‎BSE]‎ among 387 [‎302 females and 85 males]‎ educated Iraqis affiliated to 2 Iraqi universities. The participants were categorized into 3 occupations: student [‎71.3%]‎, teaching staff [‎10.3%]‎ and administrative staff [‎18.3%]‎. About half of the participants had a low knowledge score [‎< 50%]‎; only 14.3% were graded as [‎Good]‎ and above. Almost 75% of the participants believed that the best way to control breast cancer was through early detection and other possible preventive measures. Most participants [‎90.9%]‎ had heard of BSE, the main source of informatio

Background: Breast Lump Is The Second Most Common Presenting Symptom, After Breast Pain, To The Breast Clinic. Tru-Cut Needle Biopsy Provides Enough Tissue For Histopathological Diagnosis And Is Considered A Reliable Method For Establishing Preoperative Tissue Diagnosis.

Objectives: To Compare The Results Of Fine Needle Aspiration Cytology (FNAC), Tru-Cut Needle Biopsy With Excisional Biopsy In Detecting Breast Cancer In Palpable Breast Masses.

Results: This Study Shows That Tru-Cut Needle Biopsy Is Superior To FNAC In Confirming Breast Cancer In Palpable Breast Masses With Suspicion Of Malignancy And It Can Give Definitive Histopathological Diagnosis Of The Lesion With L

The excessive permanent deformation (rutting) in asphalt-concrete pavements resulting from frequent repetitions of heavy axle loads is studied in this paper. Rutting gradually develops with additional load applications and appears as longitudinal depressions in the wheel path. There are many causes of the rutting of asphalt roads, such as poor asphalt mixing and poor continuous aggregate gradation. All factors affecting the mixture resistance to permanent deformation must be discussed, and all must be properly considered to reduce the rutting propensity of asphalt-aggregate mixtures. In this study, several mixtures were produced with the most common techniques in rutting resistance (using the most effective additives for each mixture), and

Urokinase plasminogen activator (uPA), urokinase plasminogen activator receptor (uPAR) and plasminogen activator inhibitor-1(PAI-1) are essential for metastasis, and overexpression of these molecules is strongly correlated with poor prognosis in a variety of malignant tumors. This study revealed direct correlation between immunohistochemical expression of uPA with pathological stage. No significant association of immunohistochemical expressions of uPA, uPAR and PAI-1 with immunohistochemical expressions for estrogen receptor (ER), progesterone receptor (PR) and human epidermal growth factor receptor -2 (HER-2/neu), and direct association between immunohistochemical expressions of (uPA and uPAR) as well as between immunohistochemical expr

Background: Breast cancer (BC) is a type of cancer originating from breast tissue, Lipid profile seems to influence the development of female breast cancer, especially in the presence of an increased body mass index so.
Objective: to explore the status of lipid profile in women with breast cancer.
Subjects and methods: the present study is a cross-sectional study (2010/2011) done at Al-Yarmouk Teaching Hospital. Includes measurement of LP in sera of postmenapausal newly diagnosed women with BC in comparison with healthy control women. This measurement was done using colorimetric method. In The results of this study include a total of 100 patients with BC were involved in this study, they were classified as newly diagnosed postmenop

     The current study was conducted on 100 females who were divided into two main groups; 60 with breast cancer and 40 healthy controls. Blood samples were collected from both premenopausal and postmenopausal breast cancer and healthy women. The samples were appropriately processed for the analysis of trace elements (zinc, copper, and lead) by using flame atomic absorption spectrophotometry (FAAS). The results showed a highly significant decrease (p< 0.01) in the mean serum level of zinc of in both pre- and postmenopausal breast cancer women (71.7 + 5.1 and 70.4 + 5.4 µg/dL, respectively) compared with healthy controls (89.7 + 10.2 and 97.5 + 13.2 µg/dL,  respectively) . Also, a highly significant