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Best Way to Detect Breast Cancer by UsingMachine Learning Algorithms
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Breast cancer is the second deadliest disease infected women worldwide. For this
reason the early detection is one of the most essential stop to overcomeit dependingon
automatic devices like artificial intelligent. Medical applications of machine learning
algorithmsare mostly based on their ability to handle classification problems,
including classifications of illnesses or to estimate prognosis. Before machine
learningis applied for diagnosis, it must be trained first. The research methodology
which isdetermines differentofmachine learning algorithms,such as Random tree,
ID3, CART, SMO, C4.5 and Naive Bayesto finds the best training algorithm result.
The contribution of this research is test the data set with missing value and without
missing value, where the missing value is one attribute is missing from one sample
for data set. The test result is show SMO is the best algorithm, especiallywhen the
research removes the samples that contained the missing value.

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Publication Date
Sun Oct 29 2023
Journal Name
Iraqi National Journal Of Nursing Specialties
Impact of Chemotherapy upon Lifestyle for the Patient with BIadder Cancer
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Objectives: The study aimed to determine the effect of chemotherapy on the life style of patients who
receive chemotherapy.
Methodology: A descriptive study was conducted in Specialty Surgery Teaching Hospital, Al-yamok
Teaching Hospital, and Radiation and Nuclear Medicine Hospital in Baghdad for the period from May
2007 to October 2008. A purposive "non-probability" sample of (loo) patients with bladder cancer
who receive chemotherapy where concerned in this study.
A questionnaire fom was constnicted for the purpose of the study and it was comprised of
two parts. The questiormaire consists of (125) items. They include (1) demographic information (2)
assessment of lifestyle dimension. The content validity of the q

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Publication Date
Thu Jun 01 2023
Journal Name
Baghdad Science Journal
The role of Adipocytokines, Vitamin D, and C in Colorectal Cancer
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Colorectal cancer is the world's 3rd most frequent malignant neoplasm and the 4th most common cancer in Iraq. Leptin and Adiponectin are two major Adipocytokines produced by adipose cells that have opposite effects on the formation of colorectal tumors. Leptin induces tumor growth and metastasis, whereas Adiponectin inhibits it. 1,25-Dihydroxyvitamin D controls and limits cancer cell proliferation, differentiation, and survival. Vitamin C deficiency, on the other hand, has been regularly detected in cancer tissues and has potent anti-cancer properties. The purpose of this study was to look at the biochemical role of circulatory Adipocytokine levels (Adiponectin and Leptin) as well as the anti-cancer potentials of Vi

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Publication Date
Tue Oct 31 2023
Journal Name
Onkologia I Radioterapia
The prevalence of HSV1 expression in Iraqi patients with colorectal cancer
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Background: Colorectal Cancer (CRC) is one of the most serious health problems and Herpes viridae may hasten the progression of colon cancer. Aim: The purpose of conducting this research is to investigate the existence of Herpes Simplex Virus (HSV1) infection in samples of Colorectal Cancer (CRC) compared with normal tissue. Material and Methods: 40 samples of tissues (30 patients ) with CRC, and (10 samples) of normal tissue (without cancer) were obtained, for immunohistochemically analysis of Herpes Simplex Virus (HSV1) expression Results: The results showed no significant data to justify the link between both Herpes Simplex Virus (HSV1) and human colorectal cancer. Despite of presence of Herpes Simplex Virus (HSV1) found in

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Scopus
Publication Date
Wed Jan 02 2008
Journal Name
Journal Of The Faculty Of Medicine Baghdad
Exploration of Problem- Based Learning in Hadramout University College of Medicine (HUCOM)
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Background: Problem-based learning is becoming increasingly adopted in universities of higher education throughout the world.
Objective: This study is carried out to evaluate the application of this innovative approach in teaching in Hadramout University College of Medicine (HUCOM) in Yemen.
Methods: A cross-sectional study was designed to collect data from students through a well structured questionnaire. Students were classified into two groups: students in preclinical
phase (1-3 levels) and students in clinical phase (4-6 level). 
Results: Out of 372 students participated in the study; 19% in the preclinical phase know about PBL before joining the college while only 16% of students in clinical phas

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Publication Date
Sat Dec 30 2023
Journal Name
Iraqi Journal Of Science
Finding the Best Analysis for the Sleeper Cells of Terrorist Acts in the Crowded Areas of Human Activities in the City of Baghdad
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     Terrorist operations disturbed societies and threatened their existence due to destructive ideas carried by those groups that believe in radical change and the use of multiple methods to implement their ideas, as well as taking methods of concealment among society, so it has become difficult to detect them. The study's purpose is to locate sleeper cells of terrorist operations in areas dense with various human activities using remote sensing techniques and geographic information systems programs. The programs were used to analyze the group of terrorist incidents data that occurred in Baghdad in 2011 and study how to limit the crimes spreading in Baghdad. The study included building a model in spatial information systems for site

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Publication Date
Sun Jan 01 2023
Journal Name
Association Of Arab Universities Journal Of Engineering Sciences
Effect of Blended Learning on Students' Products of Design of Interior Space
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Publication Date
Wed Jul 31 2019
Journal Name
Journal Of Engineering
A Comparative Study of Various Intelligent Optimization Algorithms Based on Path Planning and Neural Controller for Mobile Robot
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In this paper, a cognitive system based on a nonlinear neural controller and intelligent algorithm that will guide an autonomous mobile robot during continuous path-tracking and navigate over solid obstacles with avoidance was proposed. The goal of the proposed structure is to plan and track the reference path equation for the autonomous mobile robot in the mining environment to avoid the obstacles and reach to the target position by using intelligent optimization algorithms. Particle Swarm Optimization (PSO) and Artificial Bee Colony (ABC) Algorithms are used to finding the solutions of the mobile robot navigation problems in the mine by searching the optimal paths and finding the reference path equation of the optimal

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Publication Date
Sun Oct 02 2011
Journal Name
Journal Of The Faculty Of Medicine Baghdad
Overview of breast cancerpatients and their prognostic factors treated in Baghdad teaching hospital/ oncology department in the year 2010
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Background:The breast cancer is the most common non-skin malignancy in women and prognostic factors are important in predicting disease free survival and overall survival.
Objective: To detect prognostic factors of breast cancer patients and study the correlation between these prognostic factors.
Patients and methods: this is a retrospective study which included87 patients with breast cancer receiving chemotherapy in Baghdad teaching hospital/ oncology department in the year 2010. Prognostic factors were registered including: age, histopathological subtype, degree of differentiation, lymph node involvement, ER and PR, Her 2/neu and lymphovascular invasion.
Results: Regarding breast cancer; 55(63.2%) of patients were early breast

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Publication Date
Sun May 10 2020
Journal Name
Baghdad Science Journal
Characterization of Mannitol Fermenter and Salt Tolerant Staphylococci from Breast Tumor Biopsies of Iraqi Women
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         The emergence of staphylococci, either coagulase negative (CNS) or coagulase positive (CPS), as important human pathogens has implied that reliable methods for their identification are of large significance in understanding the diseases caused by them. The identification and characterization of staphylococci from biopsies taken from human breast tumors is reported here. Out of 32 tissue biopsies, a total of 12 suspected staphylococci grew on mannitol salt agar (MSA) medium, including 7 fermenters and 5 non-fermenter staphylococci based on traditional laboratory methods. Polymerase chain reaction (PCR) successfully identified seven isolates at the genus level as methicillin resistant St

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Publication Date
Tue Nov 30 2021
Journal Name
Iraqi Journal Of Science
Quantifying Suicidal Ideation on Social Media using Machine Learning: A Critical Review
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Suicidal ideation is one of the severe mental health issues and a serious social problem faced by our society. This problem has been usually dealt with through the psychological point of view, using clinical face to face settings. There are various risk factors associated with suicides, including social isolation, anxiety, depression, etc., that decrease the threshold for suicide. The COVID-19 pandemic further increases social isolation, posing a great threat to the human population. Posting suicidal thoughts on social media is gaining much attention due to the social stigma associated with the mental health. Online Social Networks (OSN) are increasingly used to express the suicidal thoughts. Recently, a top Indian actor industry took th

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