Predicting heart disease using machine learning techniques on electronic health records data
Published Articles
Browse peer-reviewed articles published by our staff and graduate students. Use the filters to narrow down by faculty, department, program, academic year, indexing (Scopus / Web of Science) or search by title, author and keywords.
Waheeb Baddah, Hamzah Ali Qasem, Ayman Alsabry, Awadh abdo Mohammed, FE Hanash
2023 3rd International Conference on Emerging Smart Technologies and Applications (eSmarTA) · 2023 · pp. 1–8
heart disease is a prevalent cause of mortality worldwide, and the ability to identify and prevent this ailment at an early stage is crucial for enhancing patient outcomes. Recently, researchers have focused on utilizing Machine-Learning (ML) techniques to predict risk…
Ayman Alsabry
Malek Algabri
Amin Mohamed Ahsan
Mogeeb A. A. Mosleh
F. E. Hanash
Hamzah Ali Abdulrahman Qasem
International Journal of Computing · 2024 · Vol. 2 · No. 23 · pp. 85–93
Breast cancer is a primary cause of cancer-associated mortality among women globally, and early detection and personalized treatment are critical for improving patient outcomes. In this study, we propose an optimal framework for predicting breast cancer patient survivability using the…
Data ExplorationGentleBoost algorithmHyperparameters TuningMachine LearningSEER breast cancer dataset
Informatics and Automation · 2024 · Vol. 1 · No. 23 · pp. 129–168
Abstract: The study presents a method for iterative parameter tuning of tree ensemble-based models using Bayesian hyperparameter tuning for states prediction, using breast cancer as an example. The proposed method utilizes three different datasets, including the Wisconsin Diagnostic Breast Cancer…
Abdulsalam Tonin, Malek Algabri, Ayman Alsabry, Ali Abdullah Mohammed Ali, Abdualmajed AG Al-Khulaidi, Mossa Ghurab
Sana’a University Journal of Applied Sciences and Technology · 2024 · Vol. 2 · No. 3 · pp. 275–292
Mobile ad-hoc networks are deployed in different fields and it can be effective in applications that depend on the inter-node interaction such as search and rescue, surveillance, and battlefield reconnaissance. Due to this importance, in this article, we have reviewed…
Ayman Alsabry
Hamzah Ali Abdulrahman Qasem
Malek Algabri
Amin Mohamed Ahsan
Mogeeb A. A. Mosleh
F. E. Hanash
International Journal of Computing · 2024 · Vol. 2 · No. 23 · pp. 254–267
Breast cancer (BC) is a major global health concern. Detecting BC at an early stage gives more treatment options and can help avoid more aggressive treatments. The use of machine learning (ML) in BC prediction offers significant potential for improving…
Data ExplorationEnsemble ClassifierHyperparameters TuningMachine Learning
Arab Journal of Business and Management Research · 2025 · Vol. 12 · No. 3 · pp. 112–131
This article examines the impact of digital transformation on organizational performance in Yemeni companies. An analytical approach was used to evaluate the influence of adopting digital technologies on operational efficiency and service quality. The findings indicate a strong positive effect…
Business and FinanceInternational BusinessBusiness Analytics2024/2025
Digital TransformationOrganizational PerformanceModern TechnologyOperational Efficiency
