| A 12-lead electrocardiogram database for arrhythmia research covering more than 10,000 patients J Zheng, J Zhang, S Danioko, H Yao, H Guo, C Rakovski Scientific data 7 (1), 48, 2020 | 359 | 2020 |
| Optimal multi-stage arrhythmia classification approach J Zheng, H Chu, D Struppa, J Zhang, SM Yacoub, H El-Askary, A Chang, ... Scientific reports 10 (1), 2898, 2020 | 128 | 2020 |
| A super learner ensemble of 14 statistical learning models for predicting COVID-19 severity among patients with cardiovascular conditions L Ehwerhemuepha, S Danioko, S Verma, R Marano, W Feaster, ... Intelligence-Based Medicine 5, 100030, 2021 | 24 | 2021 |
| A 12-Lead ECG database to identify origins of idiopathic ventricular arrhythmia containing 334 patients J Zheng, G Fu, K Anderson, H Chu, C Rakovski Scientific Data 7 (98), 2020 | 24 | 2020 |
| A high-precision machine learning algorithm to classify left and right outflow tract ventricular tachycardia J Zheng, G Fu, I Abudayyeh, M Yacoub, A Chang, WW Feaster, ... Frontiers in physiology 12, 641066, 2021 | 21 | 2021 |
| Increased risks of re-identification for patients posed by deep learning-based ECG identification algorithms A Ghazarian, J Zheng, H El-Askary, H Chu, G Fu, C Rakovski 2021 43rd Annual International Conference of the IEEE Engineering in …, 2021 | 9 | 2021 |
| On the application of principal component analysis to classification problems J Zheng, C Rakovski | 9 | 2021 |
| Assessing the reidentification risks posed by deep learning algorithms applied to ECG data A Ghazarian, J Zheng, D Struppa, C Rakovski IEEE Access 10, 68711-68723, 2022 | 7 | 2022 |
| An artificial intelligence-based noninvasive solution to estimate pulmonary artery pressure J Zheng, I Abudayyeh, G Mladenov, D Struppa, G Fu, H Chu, C Rakovski Frontiers in cardiovascular medicine 9, 855356, 2022 | 4 | 2022 |
| A high precision machine learning-enabled system for predicting idiopathic ventricular arrhythmia origins J Zheng, G Fu, D Struppa, I Abudayyeh, T Contractor, K Anderson, H Chu, ... Frontiers in Cardiovascular Medicine 9, 809027, 2022 | 3 | 2022 |
| Identifying behavioral differences between people with and without previous cancer diagnosis K Anderson, L Sparks, J Zheng, C Rakovski Cogent Social Sciences, 2020 | 2 | 2020 |
| Combined use of Donepezil and Memantine increases the probability of five-year survival of Alzheimer’s disease patients E Yaghmaei, H Lu, L Ehwerhemuepha, J Zheng, S Danioko, A Rezaie, ... Communications Medicine 4 (1), 99, 2024 | 1 | 2024 |
| CardioGPT: An ECG Interpretation Generation Model G Fu, J Zheng, I Abudayyeh, C Ani, C Rakovski, L Ehwerhemuepha, H Lu, ... IEEE Access, 2024 | 1 | 2024 |
| Geospatial Analysis of Opioid Dispensing Patterns in California: A 2021 Real-World Study H Lu, J Zheng, Y Wang Healthcare 11 (12), 1732, 2023 | 1 | 2023 |
| Predicting suicidal and self-injurious events in a correctional setting using AI algorithms on unstructured medical notes and structured data H Lu, A Barrett, A Pierce, J Zheng, Y Wang, C Chiang, C Rakovski Journal of psychiatric research 160, 19-27, 2023 | 1 | 2023 |
| A Novel Correction for the Adjusted Box-Pierce Test S Danioko, J Zheng, K Anderson, A Barrett, CS Rakovski Frontiers in Applied Mathematics and Statistics 8, 873746, 2022 | 1 | 2022 |
| Trends in heart failure costs for commercially insured patients in the United States (2006–2021) J Zheng, I Abudayyeh, C Rakovski, L Ehwerhemuepha, AR Mianroodi, ... BMC Health Services Research 24 (1), 780, 2024 | | 2024 |
| Privacy-Preserving ECG Data Analysis with Differential Privacy: A Literature Review and A Case Study A Ghazarian, J Zheng, C Rakovski arXiv preprint arXiv:2406.13880, 2024 | | 2024 |
| Assessment of Hemodynamics Parameters WZ JA Zheng, I Abudayyeh US Patent App. US20230210471A1, 2023 | | 2023 |
| What quantifies good primary care in the United States? A review of algorithms and metrics using real-world data Y Wang, J Zheng, T Schneberk, Y Ke, A Chan, T Hu, J Lam, M Gutierrez, ... BMC Primary Care 24 (1), 130, 2023 | | 2023 |
Cyril RakovskiProfessor of Statistics and Data Science, Chapman University在 chapman.edu 的电子邮件经过验证
