@article{cba397fefb8a47feb788b7ab3d855e13,
title = "A Classification and Prediction Hybrid Model Construction with the IQPSO-SVM Algorithm for Atrial Fibrillation Arrhythmia",
keywords = "ECG signal, atrial fibrillation, support vector machine, image-to-data, prediction",
author = "Liang-Hung Wang and Ze-Hong Yan and Yi-Ting Yang and Jun-Ying Chen and Tao Yang and I-Chun Kuo and Abu, \{Patricia Angela R\} and Pao-Cheng Huang and Chiung-An Chen and Shih-Lun Chen",
note = "Wang, L.-H., Yan, Z.-H., Yang, Y.-T., Chen, J.-Y., Yang, T., Kuo, I.-C., Abu, P. A. R., Huang, P.-C., Chen, C.-A., \& Chen, S.-L. (2021). A classification and prediction hybrid model construction with the IQPSO-SVM algorithm for atrial fibrillation arrhythmia. Sensors, 21(15), 5222. https://doi.org/10.3390/s21155222",
year = "2021",
month = aug,
day = "1",
language = "American English",
journal = "Department of Information Systems \& Computer Science Faculty Publications",
}