Survival analysis is widely applied in data describing for the life time of item until the occurrence of an event of interest such as death or another event of understudy . The purpose of this paper is to use the dynamic approach in the deep learning neural network method, where in this method a dynamic neural network that suits the nature of discrete survival data and time varying effect. This neural network is based on the Levenberg-Marquardt (L-M) algorithm in training, and the method is called Proposed Dynamic Artificial Neural Network (PDANN). Then a comparison was made with another method that depends entirely on the Bayes methodology is called Maximum A Posterior (MAP) method. This method was carried out using numerical algorithms re

Objective To highlight the main demographic characteristics and clinical profiles of female patients registered with breast cancer in Iraq; focusing on the impact of age.Methods This retrospective study enrolled 1172 female patients who were diagnosed with breast cancer at the Main Center for Early Detection of Breast Cancer/Medical City Teaching Hospital in Baghdad. Data were extracted from an established information system, developed by the principal author under supervision of WHO, that was based on valid clinical records of Iraqi patients affected by breast cancer. The recorded information regarding clinical examination comprised positive palpable lumps, bloody nipple discharge, skin changes, bilateral breast involvement, tumor

Background: Breast cancer is the most common
malignancy affecting females worldwide. The association
of Epstein-Barr virus (EBV) with this cancer is a longstanding
interest to this field.
Aim: to investigate the presence of EBV in breast tumor
tissue in relation to age.
Patients and Methods: Paraffin-embedded tissue blocks
from 45 female patients with breast tumors (ranged in age
from 28 to 85 years) were retrieved. The cases were
grouped into two categories: group (A): included 30 cases
with breast carcinoma and group (B): included 15 cases
with benign breast diseases as a control group .The
expression of EBV protein was examined
immunohistochemically.
Results: Twelve (40%) of the 30 breast canc

Random Amplification of Polymorphic DNA (RAPD) analysis was used in this study to direct the attention toward increasing the efficiency of early diagnosis of breast cancer in clinical laboratories at Iraq using recent PCR-dependent protocols and investigate DNA polymorphisms in addition to the detection of genomic markers. Blood samples were collected from 12 diagnosed females with breast cancer (malignant) patients, 12 females with breast benign tumor and 12 controls (normal females). DNA was extracted and RAPD-PCR was performed. The results showed unique profiles of amplified DNA fragments produced in genomic DNA of breast tumors by an arbitrary primers of A8, A11, A12, A13, A15 and A18. Out of the 6 primers used, 1 primer produced mon

Abstract Background:Breast cancer is the most common female cancer worldwide. Although mastectomy is considered the treatment of choice for the majority of cases of breast cancer; a noticeable percentage of breast cancer survivors claim they were never advised about reconstruction. It has been proven that breast reconstruction helps breast cancer survivors to overcome the trauma of their diagnosis and improve their psychological well-being.Objectives: To assess the level of awareness and expectations regarding breast reconstruction surgery among female with breast cancer survivors in Baghdad, and to find if there is association between sociodemographic data and expectations of breast reconstruction.Methodology: This is a cross sectional stu

Software Defined Networking (SDN) with centralized control provides a global view and achieves efficient network resources management. However, using centralized controllers has several limitations related to scalability and performance, especially with the exponential growth of 5G communication. This paper proposes a novel traffic scheduling algorithm to avoid congestion in the control plane. The Packet-In messages received from different 5G devices are classified into two classes: critical and non-critical 5G communication by adopting Dual-Spike Neural Networks (DSNN) classifier and implementing it on a Virtualized Network Function (VNF). Dual spikes identify each class to increase the reliability of the classification

Background: Breast cancer is a complex, multifaceted disease encompassing a great variety of entities that show considerable variation in clinical, morphological and molecular attributes.
Objective: The aim of this study to evaluate patients’ molecular profile (Estrogen receptor, Progesterone receptor, HER2/neu and Ki-67).
Patients & Methods: This is a cross-sectional descriptive study was done in Baghdad oncology teaching hospital from December 2015 to April 2016, carried on 100 breast cancer female patients with their age range from 27 to 73 years old and with their histopathology reports and (IHC) results.
Results: The highest incidence of breast cancer among patients in 5th (40-49 years) and 6th (50-59 years) decades o

Folate metabolism is fundamental and essential for DNA structure synthesis and repair. Change in genes that participate in folate metabolism can be linked with different types of malignant tumor, Therefore, this study was conducted to find out the association between methylenetetrahydrofolatereductaseMTHFR gene polymorphisms and risk of breast cancer in a sample of Iraqi patients. One Single Nucleotide Polymorphism ( SNP) including MTHFR C677T was calculated using a tetra primer ARMS PCR experiment assay. The results explained that (MTHFR C677T) consists of three genotype (CC, CT, TT), The CC genotype was the most frequent in patients and control group ( 40.00%) and(60.00%) ,respectively, while the lowest frequency was for TT genotype(26