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Comparative study of logistic regression and artificial neural networks on predicting breast cancer cytology

<p>Currently, breast cancer is one of the most common cancers and a main reason of women death worldwide particularly in<strong> </strong>developing countries such as Iraq. our work aims to predict the type of tumor whether benign or malignant through models that were built using logistic regression and neural networks and we hope it will help doctors in detecting the type of breast tumor. Four models were set using binary logistic regression and two different types of artificial neural networks namely multilayer perceptron MLP and radial basis function RBF. Evaluation of validated and trained models was done using several performance metrics like accuracy, sensitivity, specificity, and AUC (area under receiver operating characteristic ROC).   Dataset was downloaded from UCI ml repository; it is composed of 9 attributes and 699 samples. The findings are clearly showing that the RBF NN classifier is the best in prediction of the type of breast tumors since it had recorded the highest performance in terms of correct classification rate (accuracy), sensitivity, specificity, and AUC (area under Receiver Operating Characteristic ROC) among all other models.</p>

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Publication Date
Mon May 15 2023
Journal Name
Iraqi Journal Of Science
Genetic Comparative Study of Staphyolococcus aureus& Staphylococcus epidermidis Isolated from Wounds, Burns and Skin Flora

One hundred specimens from wounds, burns, and skin swabs were collected
from patients laying and attended to Balad general hospital. It was found that 50
isolates belong to Staphylococcus spp., 38 isolates were identified as S. aureus and
12 isolates were identified as S. epidermidis according to microscopic, cultural and
biochemical testing. The study of seven extracellular enzyme as virulence factors
including the enzymes: urease, lipase, DNase, haemolysin, coagulase, β-lactamase,and lecithinase. Reavealed that 100% of S.aureus had the ability to produce these
enzymes, while S. epidermidis isolates were unable to produce the enzymes DNase,
lipase, coagulase, but they were capable to produce haemolysin, urease, lec

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Publication Date
Sun Jul 03 2016
Journal Name
Journal Of The Faculty Of Medicine Baghdad
Comparative study of two different techniques for leak and bleeding prevention during laparoscopic sleeve gastrectomy

Background: Laparoscopic sleeve gastrectomy has gained more popularity as an independent bariatric procedure because laparoscopic sleeve gastrectomy was reported to be an effective, safe, and time-savingprocedure, leading to adequate weight loss for morbidly obese patients and becoming one of the most common procedures performed for the treatment of morbidly obese patients in the last few years until now.
Objectives: The aim of this study is to compare two different techniques of the reinforcement of staple line during LSG in the reduction of major complications (bleeding and leak).
Patients and methods: prospective randomized study of a consecutive series of 126 patients that underwent LSG between April 20

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Publication Date
Wed Nov 27 2024
Journal Name
Journal Of Baghdad College Of Dentistry
Oral manifestation biochemical and IgA analysis of saliva in hyperthyroid (Grave’s disease) patients(Comparative study)

Background: Hyperthyroidism occurs due to over production of thyroid hormones, one types of hyperthyroidism was Graves, disease. Hyperthyroidism is characterized by high level of serum thyroxin, triiodothyronine and low level of thyroid stimulated hormones. Material and Methods: fifty two hyperthyroid patients, thirty patients under treatment with carbimazole and other twenty two patients under treatment with radioactive iodine, and sixty healthy control group. The average salivary flow rate was calculated as ml/5mint.The concentration of calcium, potassium, and total protein were determined in the salivary supernatant sample. This is done through different biochemical tests. Determination of salivary IgA is done by ELIZA. Results: The most

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Publication Date
Thu Aug 03 2023
Journal Name
Journal Of Legal Sciences
Evidence of Proof in the Administrative Investigation and Employee Guarantees Towards it : A Comparative Study

The aim of this research is to identify the guarantees of collecting evidence in the administrative investigation in both the Federal Decree-Law No. (11) of 2008 regarding human resources in the federal government and its amendments, and Ministerial Resolution No.(1) of 2018 regarding the executive regulations of the Human Resources Law in the Federal Government, Compared to the Jordanian Civil Service System No.(9) for the year 2020. In order to find out the guarantees obtained by the employee to whom the job violation is attributed in order to confront the authority of the administration in the event that he is referred to the administrative investigation in the stage of collecting evidence. And to search for the balance between the le

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Publication Date
Sat Apr 30 2022
Journal Name
Iraqi Journal Of Science
A Comparative Study of Iraqi Patients with Bedsore and other Inpatients as a Control Group

Bedsore (pressure ulcers)is a major nurse-careoutcome. There are many influences that can contribute to the progress of pressure ulcers, but the final common pathway to ulceration is tissue ischemia. This study aimed to detect some etiological factors that predispose to bedsore. The study was conducted on patients attending intensive care departments. Out of 82 inpatients who suffered from pressure ulcer, 54were males and 28were females. Specimens were collected during the period of September, 2019 –February, 2020 from different Hospitals (Alkadhimiya Teaching Hospital, General Hospital of AlshaheedAl-Sadr, and Medical City/ Ghazi Al-Hariri hospital) in Baghdad, Iraq. Simultaneously, other 20 specimens were collected as control fromin

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Publication Date
Sat Apr 01 2023
Journal Name
Journal Of Engineering
Comparative Study of Water Desalination using Reverse Osmosis (RO) and Electro-dialysis Systems (ED): Review

The increasing drinking water demand in many countries leads to an increase in the use of desalination plants, which are considered a great solution for water treatment processes. Reverse osmosis (RO) and electro-dialysis (ED) systems are the most popular membrane processes used to desalinate water at high salinity. Both systems work by separating the ionic contaminates and disposing of them as a brine solution, but ED uses electrical current as a driving force while RO uses osmotic pressure. A direct comparison of reverse osmosis and electro-dialysis systems is needed to highlight process development similarities and variances. This work aims to provide an overview of previous studies on reverse osmosis and electro-dial

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Publication Date
Wed Aug 01 2018
Journal Name
European Journal Of Pharmaceutical Sciences
The effect of size and polymer architecture of doxorubicin–poly(ethylene) glycol conjugate nanocarriers on breast duct retention, potency and toxicity

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Publication Date
Tue Dec 01 2020
Journal Name
International Journal Of Electrical And Computer Engineering
Analysis of threats and security issues evaluation in mobile P2P networks

Technically, mobile P2P network system architecture can consider as a distributed architecture system (like a community), where the nodes or users can share all or some of their own software and hardware resources such as (applications store, processing time, storage, network bandwidth) with the other nodes (users) through Internet, and these resources can be accessible directly by the nodes in that system without the need of a central coordination node. The main structure of our proposed network architecture is that all the nodes are symmetric in their functions. In this work, the security issues of mobile P2P network system architecture such as (web threats, attacks and encryption) will be discussed deeply and then we prop

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Publication Date
Sat Jan 01 2022
Journal Name
Computers, Materials &amp; Continua
An Optimal Method for Supply Chain Logistics Management Based on Neural Network

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Publication Date
Sun Jun 20 2021
Journal Name
Baghdad Science Journal
PDCNN: FRAMEWORK for Potato Diseases Classification Based on Feed Foreword Neural Network

         The economy is exceptionally reliant on agricultural productivity. Therefore, in domain of agriculture, plant infection discovery is a vital job because it gives promising advance towards the development of agricultural production. In this work, a framework for potato diseases classification based on feed foreword neural network is proposed. The objective of this work  is presenting a system that can detect and classify four kinds of potato tubers diseases; black dot, common scab, potato virus Y and early blight based on their images. The presented PDCNN framework comprises three levels: the pre-processing is first level, which is based on K-means clustering algorithm to detect the infected area from potato image. The s

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