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 modified the Correlation Feature Selection (CFS) with Best First Search (BFS) established on the Discriminant Index (DI) so as to reduce the complexity of time and get high accuracy. Secondly, Bayesian Rough Set (BRS) classifier is applied to predict the breast cancer and help the inexperienced doctors to make decisions without need the direct discussion with the specialist doctors. The result of experiments showed the proposed system give high accuracy with less time of predication the disease.
Background: Thyroid nodules are very common in clinical practice. Although most of thyroid nodules are benign, it is crucial to checkout which nodules are more likely to be malignant. Ultrasound is a major diagnostic tool for screening and evaluating thyroid diseases because it is safe, non-invasive, non-radioactive and effective.
Objective: The aim is to identify the role of ultrasound in assessing thyroid nodules and to review various ultrasound criteria predicting malignancy.
Patients and methods: A case series study conducted during the period from January 2015 to February 2016 at the First Surgical Unit, Department of Surgery, Baghdad Teaching Hospital by a team of surgeons. One hundred eighty Patients who underwent surgical i
Background:Breast abscesses could be successfully treated by percutaneous aspiration of pus and irrigation of the cavity with saline solution.
Objective:To assess the feasibility and effectiveness of percutaneous needle aspiration of breast abscesses under local anesthesia in the outpatient clinic.
Patient and methods:A prospective study of forty three women with breast abscesses attended outpatient clinic at Tikrit teaching hospital and privit clinic for the period from January 2008 to January 2010.All patients had preliminary breast ultrasoundexamination. Percutaneous needle aspiration of pus under local anesthesia was done ,followed by systemic antibiotics. Repeated aspiration was carried out later when deemed necessary and foll
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B-Cell lymphoma 3 is a putative proto-oncogene that involved in central oncogenic pathways that regulate cell death, apoptosis and metastatic of tumor cells so it could be important as a target to validation as a diagnostic or prognostic marker in these tumors. This study revealed positive expression of Bcl3 in (76.6%) of 47 cases infiltrating ductal carcinoma and (61.7%) of positive were strong positive. These results showed no significant association of immunohistochemical expression of Bcl3 with clinicopathological features as well no relation with immunohistochemical expressions of estrogen rreceptor (ER), progesterone receptor (PR) and human epidermal growth factor receptor 2 (HER-2/neu).
In this paper, Bayesian estimator for the parameter and reliability function of inverse Rayleigh distribution (IRD) were obtained Under three types of loss function, namely, square error loss function (SELF), Modified Square error loss function (MSELF) and Precautionary loss function (PLF),taking into consideration the informative and non- informative prior. The performance of such estimators was assessed on the basis of mean square error (MSE) criterion by performing a Monte Carlo simulation technique.
Background: The critically ill patient is at risk of developing intensive care acquired infection, with the lungs being especially vulnerable. Ventilator associated pneumonia (VAP) occurring after two days of mechanical ventilation and it is the most nosocomial infection seen in the intensive care unit .The establishment of an accurate diagnosis of ventilator associated pneumonia remains problematic and yet there is still no accepted "gold standard" for the diagnosis.
Patients& Methods: This is a cross section study for 328 patients admitted to intensive care unit at medical city teaching hospital. Full history, physical examination and investigation were done after 48 hours of admission according to
In this paper, the optical emission spectrum (OES) technique was used to analyze the spectrum resulting from the (CdO:CoO) plasma in air, produced by Nd:YAG laser with λ=1064 nm, τ=10 ns, a focal length of 10 cm, and a range of energy of 200-500 mJ. We identified laser-induced plasma parameters such as electron temperature (Te) using Boltzmann plot method, density of electron (ne), length of Debye (λD), frequency of plasma (fp), and number of Debye (ND), using two-Line-Ratio method. At a mixing ratio of X= 0.5, the (CdO:CoO) plasma spectrum was recorded for different energies. The results of plasma parameters caused by laser showed that, with t
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Objective: The aim of this study is to determine the role of spiral Computerized Tomography in the diagnosis and
detection the types of stroke.
Methodology: One hundred sixty two patients (162) (99 males and 63 females) their ages ranging from (13 – 80)
year, all of them are suffering from stroke. They were collected randomly from spiral Computerized Tomography
unit in Baquba Teaching hospital during the period from November / 2010 to December / 2011 .All the patients
were examined clinically and then done spiral Computerized Tomography examination.
Results : The results of this study showed that the stroke effected different age groups and both sex but males is
more affected than the females .The results of spiral
Background: We aimed to investigate the accuracy of salivary matrix metalloproteinases (MMP)-8 and -9, and tissue inhibitor of metalloproteinase (TIMP)-1 in diagnosing periodontitis and in distinguishing periodontitis stages (S)1 to S3. Methods: This study was a case–control study that included patients with periodontitis S1 to S3 and subjects with healthy periodontia (controls). Saliva was collected, and then, clinical parameters were recorded, including plaque index, bleeding on probing, probing pocket depth, and clinical attachment level. Diagnosis was confirmed by assessing the alveolar bone level using radiography. Salivary biomarkers were assayed using an enzyme-linked immunosorbent assay. Results: A total of 45 patients (15
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We are used Bayes estimators for unknown scale parameter when shape Parameter is known of Erlang distribution. Assuming different informative priors for unknown scale parameter. We derived The posterior density with posterior mean and posterior variance using different informative priors for unknown scale parameter which are the inverse exponential distribution, the inverse chi-square distribution, the inverse Gamma distribution, and the standard Levy distribution as prior. And we derived Bayes estimators based on the general entropy loss function (GELF) is used the Simulation method to obtain the results. we generated different cases for the parameters of the Erlang model, for different sample sizes. The estimates have been comp
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