Attila Kovács

P1945Machine learning to identify high-risk clusters of patients undergoing cardiac resynchronization therapy

2018 · European Heart Journal

Background: Cardiac Resynchronization Therapy (CRT) has been shown to improve mortality and cardiac function in patients with chronic systolic heart failure (HF) and prolonged QRS. However, the beneficial response is multifactorial. Consequently, a reliable method …

Integration of Geochemical Modeling, Hydrodynamic Condition, and Change Detection Supported with Machine Learning For Sustainable Development of the Water Resources in Western Desert, Egypt Methodology

2024

Mohamed Hamdy Eid a,b *, Attila Kovács a and Péter Szűcs a a Institute of Environmental Management, Faculty of Earth Science, University of Miskolc, 3515, Hungary; mohamedhamdy@science.bsu.edu.eg; hgszucs@uni-miskolc.hu; attila.geo.kovacs@gmail.com. b Geology Department, Faculty of Science, …