A joint research team, including lecturer assist. Mohammed Abdul-Amir Jabbar, a faculty member in the Department of Academic Affairs and chaired by the University of Information and Communication Technology, has published a distinguished scientific research paper in Scopus Q3 in the International Journal of Computing and Digital Systems, published by the University of Bahrain. The paper was titled:
“Enhancing Heart Disease Prediction Based on B-Spline Curves and Machine Learning Algorithms.”

Faculty members from the University of Technology, the University of Nahrain, and the University of Heritage participated in the preparation of the research. The research addresses the prediction of heart disease and heart attacks as one of the most prominent challenges in the field of healthcare. It aims to detect heart disease early and reduce its health and social impacts. The researchers propose an intelligent mathematical model that combines B-Spline curves with artificial intelligence techniques using machine learning algorithms to improve the quality of medical data and deal with outliers and random values.

This achievement represents a scientific step in the field of integrating mathematical models with artificial intelligence techniques to improve medical diagnosis. This will contribute to the development of more effective tools for early detection of heart disease and support medical decisions, and support innovation in the fields of artificial intelligence and smart medical applications, thus consolidating its academic and research standing at the local and international levels.