Preferred Language
Articles
/
jeasiq-2760
Machine Learning Techniques for Analyzing Survival Data of Breast Cancer Patients in Baghdad
...Show More Authors

The Machine learning methods, which are one of the most important branches of promising artificial intelligence, have great importance in all sciences such as engineering, medical, and also recently involved widely in statistical sciences and its various branches, including analysis of survival, as it can be considered a new branch used to estimate the survival and was parallel with parametric, nonparametric and semi-parametric methods that are widely used to estimate survival in statistical research. In this paper, the estimate of survival based on medical images of patients with breast cancer who receive their treatment in Iraqi hospitals was discussed. Three algorithms for feature extraction were explained: The first principal component algorithm, The second kernel principal component algorithm, and The last is the faster ICA algorithm. Then the important features extracted in the three algorithms for features extraction will be entered into machine learning algorithms: The first K nearest neighbor algorithm, The second survival tree algorithm (or regression tree), and the last random survival forests algorithm.

Two criteria for comparing the best models to estimate survival have relied on the MSE and the C-Index. The best model for estimating and predicting survival is the use of the fastest ICA algorithm with the random survival forest algorithm that gave the lowest amount to MSE and the highest value to the C-Index. Accordingly, we recommend doctors and medical professionals in Iraq adopt this model to estimate survival for patients with breast cancer.

Crossref
View Publication Preview PDF
Quick Preview PDF
Publication Date
Fri Sep 30 2022
Journal Name
Journal Of Economics And Administrative Sciences
Comparison of Some Methods for Estimating the Survival Function and Failure Rate for the Exponentiated Expanded Power Function Distribution
...Show More Authors

 

     We have presented the distribution of the exponentiated expanded power function (EEPF) with four parameters, where this distribution was created by the exponentiated expanded method created by the scientist Gupta to expand the exponential distribution by adding a new shape parameter to the cumulative function of the distribution, resulting in a new distribution, and this method is characterized by obtaining a distribution that belongs for the exponential family. We also obtained a function of survival rate and failure rate for this distribution, where some mathematical properties were derived, then we used the method of maximum likelihood (ML) and method least squares developed  (LSD)

... Show More
View Publication Preview PDF
Crossref
Publication Date
Fri Sep 01 2017
Journal Name
Gulf Journal Of Oncology
Clinical and Pathological Characteristics of Triple Positive Breast Cancer among Iraqi Patients
...Show More Authors

Background: Breast cancer is the most common malignancy affecting the Iraqi population and the leading cause of cancer related mortality among Iraqi women. It has been well documented that prognosis of patients depends largely upon the hormone receptor contents and HER-2 over expression of their neoplasm. Recent studies suggest that Triple Positive (TP) tumors, bearing the three markers, tend to exhibit a relatively favorable clinical behavior in which overtreatment is not recommended. Aim: To document the different frequencies of ER/PR/HER2 breast cancer molecular subtypes focusing on the Triple Positive pattern; correlating those with the corresponding clinico-pathological characteristics among a sample of Iraqi patients diagnosed with th

... Show More
View Publication Preview PDF
Publication Date
Sun Jan 01 2023
Journal Name
Journal Of Intelligent Systems
A study on predicting crime rates through machine learning and data mining using text
...Show More Authors
Abstract<p>Crime is a threat to any nation’s security administration and jurisdiction. Therefore, crime analysis becomes increasingly important because it assigns the time and place based on the collected spatial and temporal data. However, old techniques, such as paperwork, investigative judges, and statistical analysis, are not efficient enough to predict the accurate time and location where the crime had taken place. But when machine learning and data mining methods were deployed in crime analysis, crime analysis and predication accuracy increased dramatically. In this study, various types of criminal analysis and prediction using several machine learning and data mining techniques, based o</p> ... Show More
View Publication
Scopus (5)
Crossref (2)
Scopus Clarivate Crossref
Publication Date
Sun Jul 01 2012
Journal Name
Journal Of The Faculty Of Medicine Baghdad
Percutaneous needle aspiration of breast abscesses
...Show More Authors

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

... Show More
View Publication Preview PDF
Crossref (1)
Crossref
Publication Date
Sat Oct 30 2021
Journal Name
Iraqi Journal Of Science
An Application of Data Mining Algorithms for Analyzing Psychological Researches
...Show More Authors

     Computer science has evolved to become the basis for evolution and entered into all areas of life where the use of computer has been developed in all scientific, military, commercial and health institutions. In addition, it has been applied in residential and industrial projects due to the high capacity and ability to achieve goals in a shorter time and less effort. In this research, the computer, its branches, and algorithms will be invested in the psychological field. In general, in psychological fields, a questionnaire model is created according to the requirements of the research topic. The model contains many questions that are answered by the individuals of the sample space chosen by the researcher. Often,

... Show More
View Publication Preview PDF
Scopus (1)
Scopus Crossref
Publication Date
Sun Oct 01 2017
Journal Name
Journal Of The Faculty Of Medicine Baghdad
Immunohistochemical expression of HepPar 1 in colorectal cancer
...Show More Authors

Background: Colorectal carcinoma is common in Northwest Europe, North America, and other Anglo-Saxon areas, while it decreases in number in Africa, Asia, and some parts of South America, There are many immunohistochemical markers react to colonic tissue, the large majority of colorectal carcinomas are positive for mucin stains. Colorectal adenocarcinomas are invariably positive for cytokeratin (CK), Reactivity for CEA is also the rule; as a matter of fact, failure to detect CEA in an adenocarcinoma of makes a colo-rectal site of origin seems to be unlikely, and many other markers that could claimed in colorectal tumors, a one marker that may has a role in staining colorectal tumors is HepPar-1 which is a monoclonal antibody that reacts t

... Show More
View Publication Preview PDF
Crossref
Publication Date
Thu Jun 30 2022
Journal Name
Iraqi Journal Of Science
Survey For Arabic Part of Speech Tagging based on Machine Learning
...Show More Authors

      The Arabic Language is the native tongue of more than 400 million people around the world,  it is also a language that carries an important religious and international weight.  The Arabic language has taken its share of the huge technological explosion that has swept the world, and therefore it needs to be addressed with natural language processing applications and tasks.

This paper aims to survey and gather the most recent research related to Arabic Part of Speech (APoS), pointing to tagger methods used for the Arabic language, which ought to aim to constructing corpus for Arabic tongue. Many AI investigators and researchers have worked and performed POS utilizing various machine-learning methods, such as Hidden-Mark

... Show More
View Publication Preview PDF
Scopus (3)
Crossref (2)
Scopus Crossref
Publication Date
Mon Oct 30 2023
Journal Name
Iraqi Journal Of Science
Machine Learning Approach for Facial Image Detection System
...Show More Authors

     Face detection systems are based on the assumption that each individual has a unique face structure and that computerized face matching is possible using facial symmetry. Face recognition technology has been employed for security purposes in many organizations and businesses throughout the world. This research examines the classifications in machine learning approaches using feature extraction for the facial image detection system. Due to its high level of accuracy and speed, the Viola-Jones method is utilized for facial detection using the MUCT database. The LDA feature extraction method is applied as an input to three algorithms of machine learning approaches, which are the J48, OneR, and JRip classifiers.  The experiment’s

... Show More
View Publication Preview PDF
Publication Date
Mon Oct 30 2023
Journal Name
Iraqi Journal Of Science
Machine Learning Approach for Facial Image Detection System
...Show More Authors

HM Al-Dabbas, RA Azeez, AE Ali, Iraqi Journal of Science, 2023

View Publication
Scopus (2)
Scopus
Publication Date
Fri Jan 26 2024
Journal Name
Iraqi Journal Of Science
An Evaluation of Some Risk Factors and ABO Blood Groups in Breast Cancer Patients
...Show More Authors

The study involved 120 women, who were distributed into two groups of breast tumor patients (30 malignant and 30 benign) and a group of controls (60 women). The patients were referred to the Center for Early Detection of Breast Tumor at Al-Alwayia Hospital for Gynecology and Obstetrics (Baghdad) during the period June-December 2011. They were investigated for the frequency of ABO blood group phenotypes, menopausal status, oral contraceptive use, body mass index and family history of breast cancer or other cancers. The results demonstrated that 60.0% of malignant cases clustered after the age 50 years, while it was 20.0% in benign cases. Fifty percent of malignant breast tumor patients reached menopause, while in benign cases, the corresp

... Show More
View Publication Preview PDF