Preferred Language
Articles
/
2njoOqABuRolNscLuu00
Enhancing Disease Prediction in Healthcare through Explainable AI in Clinical Decision Support Systems
...Show More Authors

A superb demonstration of one of the wonders of technology providing the people with great aid is the employment of Artificial Intelligence in the medical field, and mainly the introduction of Clinical Decision Support Systems (CDSS). Nevertheless, non-’black-box’ AI systems have a significant problem, that is, although they are visible and understandable, there is still a considerable issue of trust by healthcare professionals. Explainable AI (XAI) technology is a means to overcome all the obstacles by unveiling more and offering the explanations of the procedures that AI performs in decision making. This study was conducted by examining various widely used approaches to XAI, which illustrate how XAI verifies the trustworthiness of CDSS and, consequently, facilitates the incorporation of AI-generated predictions into decision-making. Additionally, the paper also refers to the possible influence of XAI on healthcare, providing the patients’ benefits, gaining clinical trust, and facilitating delivery systems. This article highlights that an AI explanation is a key point in the process of narrowing the distance between the complexity of machine learning models and the medical domain where they are employed as reliable and trustworthy applications.

Scopus Crossref
View Publication Preview PDF
Quick Preview PDF
Publication Date
Sun Jan 26 2020
Journal Name
Al-kindy College Medical Journal
Prevention in Healthcare Practice: An issue with Rising Importance
...Show More Authors

Plentiful of healthcare practice is based on a disease/treatment approach rather than a prevention one.  That is, the predominant focus is on treating existing symptoms and conditions that bring the patient to healthcare setting. There is no doubt about the significance of this approach for acute conditions, but there is some question whether this is the most efficient and effective way of distributing healthcare for increasing number of diseases and limited resources.

The evidences from everywhere have showed the profound cost benefit of prevention in healthcare practice. Healthy community, therefore, is the ultimate aim in any health services planning. The priority of care giver is shifted now to promote health and prevent

... Show More
View Publication Preview PDF
Crossref (3)
Crossref
Publication Date
Fri Dec 01 2023
Journal Name
Case Studies In Construction Materials
Enhancing asphalt binder performance through nano-SiO2 and nano-CaCO3 additives: Rheological and physical insights
...Show More Authors

During the last two decades, nanomaterial application has gained a significant attraction into asphalt technology due to their effect in enhancing asphalt binder improving the asphaltic mixture. This study will modify the asphalt binder with two different nano types, nano SiO2 and CaCO3, at levels ranging from 1% to 7%. The resulting optimum nano-modified Asphalt will be subject to a series of rheological tests, including dynamic shear rheometer (DSR), Viscosity, and bending beam rheometer (BBR) to determine asphalt binder sensitivity towards low-medium-high temperature range. Results indicate that both nano types improved the physical characteristics of Asphalt, and 5% by weight of Asphalt was suggested as a reasonable dosage of nano-SiO2

... Show More
View Publication
Scopus (47)
Crossref (14)
Scopus Clarivate Crossref
Publication Date
Tue Dec 30 2014
Journal Name
College Of Islamic Sciences
The problem and its manifestations with the modernists through the Iberissian systems in modern terminology (applied study): (Applied study)
...Show More Authors

Islamic law has relied on a number of sources in order to denote the rulings issued by them, including what is original and what is sub, and it is known to all scholars, that the Prophet's Sunnah is the second major source after the Koran, which separated the overall and devoted its year and restricted absolute. God Almighty obeyed the owner and his followers, and that his obedience of obedience to God Almighty said: (Who obeys the messenger has obeyed God) (women: 80), and then between the peasant who believes in him and his victory and follow him, he said: (and he said: And the one who was revealed with them were the successful ones (al-A'raf: 157).
     It is known that the Sunnah commanded to follow is the

... Show More
View Publication Preview PDF
Publication Date
Wed Jan 30 2013
Journal Name
Al-kindy College Medical Journal
Wilson's Disease; Clinical Presentations among Patients Attending Gastroenterology Clinic/ Baghdad Teaching Hospital
...Show More Authors

Background:Wilson’s disease (WD) is an inherited
disorder of copper metabolism that is characterized
by tremendous variation in the clinical presentation.
Objective: To assess demographic distribution,
clinical presentations, diagnostic evaluation, and any
association between clinical presentations and other
studied variables of a sample of Iraqi patients with
WD.
Methods: A descriptive cross sectional study with
analytic elements was conducted during 2011, from
the 1st of February till the 10th of June. The sampling
method was a convenient non-random one, carried
out through consecutive pooling of registered WD
patients. A questionnaire-form paper had been
developed for the process of data col

... Show More
View Publication Preview PDF
Publication Date
Sun Jul 26 2026
Journal Name
Discover Artificial Intelligence
Multi-classification of autism spectrum disorder behavior for children using explainable artificial intelligence techniques
...Show More Authors

Precise and interpretable classification of autism-related behaviors is important for initial diagnosis, personalized intervention, and support arrangements. This study proposes an interpretable machine learning (ML) model using Light Gradient Boosting Machine (LightGBM) and Categorical Boosting (CatBoost) to classify behavioral patterns into four categories (normal, mild, moderate, and severe) associated with Autism Spectrum Disorder (ASD) based on a custom 377-instance survey dataset from Iraqi parents and teachers of children aged 6-12. The model observes 16 key features across communication and social interaction, repetitive behaviors, language, and adaptive skills, preprocessed via interquartile range (IQR) outlier removal, me

... Show More
View Publication Preview PDF
Crossref
Publication Date
Thu Sep 01 2011
Journal Name
Journal Of Economics And Administrative Sciences
Opportunities for establishing business incubators in IraqTo support microenterprises
...Show More Authors

Business incubator is a new effective mechanism in developing small projects through its introductions of a new integral system of services. It aims at supporting and developing making new projects. Hence, there is a big number of factors that are interrelated in the processes of preparation for those projects. Those factors are: organizing the incubator and the market available for the projects attached to them and the work programs which will have to be implemented. Those small projects represent more than 98% of the total work institutions in the world. Also it has become responsible for a ration reaching half of the national output of those countries. These projects have created between 40 to 80% of job opportunities availabl

... Show More
View Publication Preview PDF
Crossref
Publication Date
Mon Jun 01 2026
Journal Name
Iraqi Journal For Computers And Informatics
Explainable Federated Learning for Brain Tumor Classification Using Multi-Source MRI Data
...Show More Authors

Early diagnosis and clinical decision-making depend on accurate brain tumor classification using magnetic resonance imaging (MRI). However, traditional deep learning methods usually rely on centralized medical data, which raises privacy concerns and limits the use of distributed clinical data. This research proposes a privacy-preserving federated learning framework for MRI image-based binary brain tumor classification using a decentralized ResNet-18 architecture that enables collaborative training without sharing raw patient data. To reflect realistic clinical conditions, the framework integrates heterogeneous multi-source datasets in different image formats (PNG and JPG) and evaluates performance under both IID and non-IID settings

... Show More
View Publication Preview PDF
Crossref
Publication Date
Tue Apr 21 2026
Journal Name
International Journal Of Modelling And Simulation
Effects of wind, global warming and fear in a disease-induced Hassell-Varley predator-prey model through Caputo fractional order derivative
...Show More Authors

View Publication
Scopus (3)
Crossref (1)
Scopus Crossref
Publication Date
Mon Sep 28 2026
Journal Name
Iraqi Journal Of Pharmaceutical Sciences
The Impact of Infliximab Trough Level and Anti-Drug Antibody on Clinical Outcomes in Crohn's Disease Patients: A Cross-Sectional Study in Iraq
...Show More Authors

Primary and secondary response loss , often mediated by the development of anti-drug antibodies (ADAs), limit treatment efficacy. Therapeutic drug monitoring (TDM) is important in optimizing infliximab therapy by correlating drug level with clinical outcomes. This study aimed to find the relationship between infliximab level, ADA presence, and clinical activity in Iraqi Crohn's disease (CD) patients. This cross-sectional study included adult Crohn's disease patients receiving maintenance infliximab (IFX) treatment. Data on demographics and clinical characteristics were collected. Infliximab level and ADA were measured using ELISA. Forty-three patients were included. Patients in remission had significantly higher infliximab levels and lower

... Show More
View Publication Preview PDF
Crossref
Publication Date
Mon Feb 16 2026
Journal Name
Agribusiness
Economic Analysis of AI‐Driven Resource Efficiency in Sustainable Agriculture in Iraq
...Show More Authors
Abstract<p> Water scarcity, rising energy costs, and declining irrigation efficiency are significant barriers to wheat production in Iraq. This study evaluates the economic, environmental, and sustainability impacts of integrating artificial intelligence (AI) into irrigation management under semiarid conditions. Field experiments conducted at the Al‐Ra'id Research Station in Baghdad during the 2025 season compared conventional diesel‐based irrigation with AI‐assisted irrigation that used soil moisture sensors, Internet of Things (IoT) controllers, and predictive weather algorithms. The analysis employed Cobb–Douglas production modeling, cost–benefit analysis, net</p> ... Show More
View Publication
Scopus Crossref