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Full-Text Articles in Medicine and Health Sciences
A Classification And Prediction Hybrid Model Construction With The Iqpso-Svm Algorithm For Atrial Fibrillation Arrhythmia, Liang-Hung Wang, Ze-Hong Yan, Yi-Ting Yang, Jun-Ying Chen, Tao Yang, I-Chun Kuo, Patricia Angela R. Abu, Pao-Cheng Huang, Chiung-An Chen, Shih-Lun Chen
A Classification And Prediction Hybrid Model Construction With The Iqpso-Svm Algorithm For Atrial Fibrillation Arrhythmia, Liang-Hung Wang, Ze-Hong Yan, Yi-Ting Yang, Jun-Ying Chen, Tao Yang, I-Chun Kuo, Patricia Angela R. Abu, Pao-Cheng Huang, Chiung-An Chen, Shih-Lun Chen
Department of Information Systems & Computer Science Faculty Publications
Atrial fibrillation (AF) is the most common cardiovascular disease (CVD); and most existing algorithms are usually designed for the diagnosis (i.e.; feature classification) or prediction of AF. Artificial intelligence (AI) algorithms integrate the diagnosis of AF electrocardiogram (ECG) and predict the possibility that AF will occur in the future. In this paper; we utilized the MIT-BIH AF Database (AFDB); which is composed of data from normal people and patients with AF and onset characteristics; and the AFPDB database (i.e.; PAF Prediction Challenge Database); which consists of data from patients with Paroxysmal AF (PAF; the records contain the ECG preceding an …