Search Results - "Ali, Abdelmgeid A"
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Heart disease risk factors detection from electronic health records using advanced NLP and deep learning techniques
Published in Scientific reports (03-05-2023)“…Heart disease remains the major cause of death, despite recent improvements in prediction and prevention. Risk factor identification is the main step in…”
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An Efficient Slime Mould Algorithm Combined with k-Nearest Neighbor for Medical Classification Tasks
Published in IEEE access (01-01-2021)“…Growing science and medical technologies have produced a massive amount of knowledge on different scales of biological systems. By processing various amounts…”
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Machine Learning Techniques for Biomedical Natural Language Processing: A Comprehensive Review
Published in IEEE access (2021)“…The widespread use of electronic health records (EHR) systems in health care provides a large amount of real-world data, leading to new areas for clinical…”
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Applying Deep Learning Methods on Time-Series Data for Forecasting COVID-19 in Egypt, Kuwait, and Saudi Arabia
Published in Complexity (New York, N.Y.) (2021)“…The novel coronavirus disease (COVID-19) is regarded as one of the most imminent disease outbreaks which threaten public health on various levels worldwide…”
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Predicting Coronavirus Pandemic in Real-Time Using Machine Learning and Big Data Streaming System
Published in Complexity (New York, N.Y.) (2020)“…Twitter is a virtual social network where people share their posts and opinions about the current situation, such as the coronavirus pandemic. It is considered…”
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Multiple Strategies Boosted Orca Predation Algorithm for Engineering Optimization Problems
Published in International journal of computational intelligence systems (30-04-2023)“…This paper proposes an enhanced orca predation algorithm (OPA) called the Lévy flight orca predation algorithm (LFOPA). LFOPA improves OPA by integrating the…”
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Adapting transformer-based language models for heart disease detection and risk factors extraction
Published in Journal of big data (04-04-2024)“…Efficiently treating cardiac patients before the onset of a heart attack relies on the precise prediction of heart disease. Identifying and detecting the risk…”
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Ensemble Learning Based on Hybrid Deep Learning Model for Heart Disease Early Prediction
Published in Diagnostics (Basel) (01-12-2022)“…Many epidemics have afflicted humanity throughout history, claiming many lives. It has been noted in our time that heart disease is one of the deadliest…”
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A New Chaotic-Based RGB Image Encryption Technique Using a Nonlinear Rotational 16 × 16 DNA Playfair Matrix
Published in Cryptography (01-06-2022)“…Due to great interest in the secure storage and transmission of color images, the necessity for an efficient and robust RGB image encryption technique has…”
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Automated Diagnosis for Colon Cancer Diseases Using Stacking Transformer Models and Explainable Artificial Intelligence
Published in Diagnostics (Basel) (01-09-2023)“…Colon cancer is the third most common cancer type worldwide in 2020, almost two million cases were diagnosed. As a result, providing new, highly accurate…”
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Deep and machine learning techniques for medical imaging-based breast cancer: A comprehensive review
Published in Expert systems with applications (01-04-2021)“…Breast cancer is the second leading cause of death for women, so accurate early detection can help decrease breast cancer mortality rates. Computer-aided…”
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Human emotion recognition from EEG-based brain–computer interface using machine learning: a comprehensive review
Published in Neural computing & applications (01-08-2022)“…Affective computing, a subcategory of artificial intelligence, detects, processes, interprets, and mimics human emotions. Thanks to the continued advancement…”
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Ear recognition using local binary patterns: A comparative experimental study
Published in Expert systems with applications (15-03-2019)“…•A comparative study of ear recognition using local binary patterns variants is done.•A new texture operator is proposed and used as an ear feature…”
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Challenges and recommended technologies for the industrial internet of things: A comprehensive review
Published in Measurement : journal of the International Measurement Confederation (01-02-2020)“…•Introduce the state-of-the-art challenges and recommended technologies in IoT.•Present overview for ICT and proposes a framework for integrating them in IoT…”
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An efficient multilevel thresholding segmentation method for thermography breast cancer imaging based on improved chimp optimization algorithm
Published in Expert systems with applications (15-12-2021)“…Thermography images are a helpful screening tool that can detect breast cancer by showing the body parts that indicate an abnormal change in temperature…”
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Improved manta ray foraging optimization for multi-level thresholding using COVID-19 CT images
Published in Neural computing & applications (01-12-2021)“…Coronavirus disease 2019 (COVID-19) is pervasive worldwide, posing a high risk to people’s safety and health. Many algorithms were developed to identify…”
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Centroid mutation-based Search and Rescue optimization algorithm for feature selection and classification
Published in Expert systems with applications (01-04-2022)“…Massive data is generated as a result of technological innovations in various fields. Medical data sets often have extremely complex dimensions with limited…”
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An optimized deep learning architecture for breast cancer diagnosis based on improved marine predators algorithm
Published in Neural computing & applications (01-10-2022)“…Breast cancer is the second leading cause of death in women; therefore, effective early detection of this cancer can reduce its mortality rate. Breast cancer…”
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Gene selection based on recursive spider wasp optimizer guided by marine predators algorithm
Published in Neural computing & applications (01-10-2024)“…Detecting tumors using gene analysis in microarray data is a critical area of research in artificial intelligence and bioinformatics. However, due to the large…”
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An enhanced Coati Optimization Algorithm for global optimization and feature selection in EEG emotion recognition
Published in Computers in biology and medicine (01-05-2024)“…Emotion recognition based on Electroencephalography (EEG) signals has garnered significant attention across diverse domains including healthcare, education,…”
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