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Application of empirical mode decomposition (EMD) for automated identification of congestive heart failure using heart rate signals., , , , , , , , , and . Neural Comput. Appl., 28 (10): 3073-3094 (2017)Detection of shockable ventricular arrhythmia using optimal orthogonal wavelet filters., , and . Neural Comput. Appl., 32 (20): 15869-15884 (2020)Computer-aided diagnosis of atrial fibrillation based on ECG Signals: A review., , , , , , and . Inf. Sci., (2018)Automated detection of shockable ECG signals: A review., , , , , , , , , and 5 other author(s). Inf. Sci., (2021)Hybrid genetic-discretized algorithm to handle data uncertainty in diagnosing stenosis of coronary arteries., , , , , , , , and . Expert Syst. J. Knowl. Eng., (2022)Association between work-related features and coronary artery disease: A heterogeneous hybrid feature selection integrated with balancing approach., , , , , , , , , and 2 other author(s). Pattern Recognit. Lett., (2020)A geometrical approach for evaluating left ventricular remodeling in myocardial infarct patients., , , , , and . Comput. Methods Programs Biomed., 108 (2): 500-510 (2012)Artificial Intelligence and Diabetes Mellitus: An Inside Look Through the Retina., , , , , , , , , and . CoRR, (2024)Model uncertainty quantification for diagnosis of each main coronary artery stenosis., , , , , , , , and . Soft Comput., 24 (13): 10149-10160 (2020)Automated EEG sentence classification using novel dynamic-sized binary pattern and multilevel discrete wavelet transform techniques with TSEEG database., , , , , , , , , and . Biomed. Signal Process. Control., 79 (Part): 104055 (2023)