An improved electrocardiogram arrhythmia classification performance with feature optimization.

Autor: Darmawahyuni A; Faculty of Engineering, Universitas Sriwijaya, Palembang, 30139, Indonesia.; Intelligent System Research Group, Faculty of Computer Science Universitas Sriwijaya, Palembang, 30139, Indonesia., Nurmaini S; Intelligent System Research Group, Faculty of Computer Science Universitas Sriwijaya, Palembang, 30139, Indonesia. siti_nurmaini@unsri.ac.id., Tutuko B; Intelligent System Research Group, Faculty of Computer Science Universitas Sriwijaya, Palembang, 30139, Indonesia., Rachmatullah MN; Intelligent System Research Group, Faculty of Computer Science Universitas Sriwijaya, Palembang, 30139, Indonesia., Firdaus F; Intelligent System Research Group, Faculty of Computer Science Universitas Sriwijaya, Palembang, 30139, Indonesia., Sapitri AI; Intelligent System Research Group, Faculty of Computer Science Universitas Sriwijaya, Palembang, 30139, Indonesia., Islami A; Intelligent System Research Group, Faculty of Computer Science Universitas Sriwijaya, Palembang, 30139, Indonesia., Marcelino J; Intelligent System Research Group, Faculty of Computer Science Universitas Sriwijaya, Palembang, 30139, Indonesia., Isdwanta R; Intelligent System Research Group, Faculty of Computer Science Universitas Sriwijaya, Palembang, 30139, Indonesia., Perwira MI; Intelligent System Research Group, Faculty of Computer Science Universitas Sriwijaya, Palembang, 30139, Indonesia.

Publikováno v: BMC medical informatics and decision making [BMC Med Inform Decis Mak] 2024 Dec 30; Vol. 24 (1), pp. 412. Date of Electronic Publication: 2024 Dec 30.