About
21
Publications
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Introduction
Dr. Maalim A. H. Aljabery works at the College of Computer Science and Information Technology, Computer Science Dept., University of Basrah. Maalim does research in data mining with healthcare systems, knowledge discovery, and hearing aid devices.
She received an M.Sc. in Computer Science from the College of Science, University of Basrah, Basrah, IRAQ, and her Ph.D. in Electrical and Computer Engineering, Istanbul, Turkey.
Current institution
Additional affiliations
October 2002 - present
Publications
Publications (21)
Blockchain's decentralization, security, and transparency make it capable of revolutionizing many industries, particularly healthcare. Our proposed system leverages the inherent features of blockchain to establish a tamper-resistant and transparent framework for storing medical records. We uniquely identify each patient and assign them an individua...
Recent progress in NLP has led to an importance of good text data classification with suitable machine learning algorithms over numerous domains. In a vast variety of NLP applications such as sentiment analysis, document categorization, topic modeling, text classification task is extremely important. Here, in terms of machine learning approach Naiv...
Cirrhosis is an advanced stage of many chronic liver diseases, primarily caused by viral hepatitis. Early detection is crucial to prevent further liver tissue scarring and to prolong patient survival. AI-based computer-assisted diagnostics, utilizing Machine Learning ML and Deep Learning DL methods, offer significant advantages over conventional ap...
Over recent decades, image data violations have created great difficulties, and image encryption has been an appealing field of research. Most people acknowledge this as a practical method of safe transmission. However, many studies have been conducted in various ways, and new and helpful algorithms have been proposed to improve the encryption syst...
Steganography is a technique used to hide data within other data, emerging from the realization that information is valuable and must be concealed. By considering the potential of blockchain technology, which produces and stores data in an immutable chain, it is clear that steganography can be effectively applied alongside blockchain to hide inform...
Our research examined two of unsupervised Data Mining algorithms for both comparison and prediction to predict the High-Power Hearing Aid for audiology patients who suffer from hearing impairment. These Data Mining techniques are Manifold Learning and Multidimensional Scaling. Both algorithms define specific rules to choose the linear projection of...
The set of Audiology dataset consists of 71 fields and one extra field for class. All fields of this new dataset are categorical with little ratio of missing values. After cleaning data, we were obtained 210 cases ready for using the Data Mining and Machine Learning techniques.
The set of Audiology dataset consists of 71 fields and one extra field for class. All fields of this new dataset are categorical with little ratio of missing values. After cleaning data, we were obtained 210 cases ready for using the Data Mining and Machine Learning techniques.
The set of Audiology dataset consists of 71 fields and one extra field for class. All fields of this new dataset are categorical with little ratio of missing values. After cleaning data, we were obtained 210 cases ready for using the Data Mining and Machine Learning techniques.
The set of Audiology dataset consists of 71 fields and one extra field for class. All fields of this new dataset are categorical with little ratio of missing values. After cleaning data, we were obtained 210 cases ready for using the Data Mining and Machine Learning techniques.
The set of Audiology dataset consists of 71 fields and one extra field for class. All fields of this new dataset are categorical with little ratio of missing values. After cleaning data, we were obtained 210 cases ready for using the Data Mining and Machine Learning techniques.
The set of Audiology dataset consists of 71 fields and one extra field for class. All fields of this new dataset are categorical with little ratio of missing values. After cleaning data, we were obtained 210 cases ready for using the Data Mining and Machine Learning techniques.
Using Machine Learning (ML) in many fields has shown remarkable results, especially in government data analysis, classification, and prediction. This technology has been applied to the National ID data (Electronic Civil Registry) (ECR). It is used in analyzing this data and creating an e-government project to join the National ID with three governm...
Many countries have used big data to develop their institutions, such as Estonia in policing, India in health care, and the development of agriculture in the United Kingdom, etc. Data is very important as it is no longer oil that is the most valuable resource in the world, but data. This research examines ways to develop the Iraqi state institution...
Our research is primarily based on dealing with different types of data using Data Mining (DM) techniques. In this research, we devoted ourselves to determining the type of Hearing Aid (HA) needed by patients with hearing impairment. HA type Diagnosis is a medical application that is a major challenge for researchers. Using DM techniques and Machin...
Our research transacts with a great various audiology data from National Health System (NHS) facility, including audiograms, structured data such as age, gender, and diagnosis, and a text of specific information about each patient, i.e., clinical reports. This research examines factors related to audiology patients depends on various data by using...
