| Ensuring electronic medical record simulation through better training, modeling, and evaluation Z Zhang, C Yan, DA Mesa, J Sun, BA Malin Journal of the American Medical Informatics Association 27 (1), 99-108, 2020 | 77 | 2020 |
| A multifaceted benchmarking of synthetic electronic health record generation models C Yan, Y Yan, Z Wan, Z Zhang, L Omberg, J Guinney, SD Mooney, ... Nature communications 13 (1), 7609, 2022 | 51 | 2022 |
| SynTEG: a framework for temporal structured electronic health data simulation Z Zhang, C Yan, TA Lasko, J Sun, BA Malin Journal of the American Medical Informatics Association 28 (3), 596-604, 2021 | 51 | 2021 |
| Membership inference attacks against synthetic health data Z Zhang, C Yan, BA Malin Journal of biomedical informatics 125, 103977, 2022 | 49 | 2022 |
| Generating electronic health records with multiple data types and constraints C Yan, Z Zhang, S Nyemba, BA Malin AMIA annual symposium proceedings 2020, 1335, 2020 | 37 | 2020 |
| Keeping synthetic patients on track: feedback mechanisms to mitigate performance drift in longitudinal health data simulation Z Zhang, C Yan, BA Malin Journal of the American Medical Informatics Association 29 (11), 1890-1898, 2022 | 7 | 2022 |
| Predicting brain function status changes in critically ill patients via Machine learning C Yan, C Gao, Z Zhang, W Chen, BA Malin, EW Ely, MB Patel, Y Chen Journal of the American Medical Informatics Association 28 (11), 2412-2422, 2021 | 7 | 2021 |
| Forecasting the future clinical events of a patient through contrastive learning Z Zhang, C Yan, X Zhang, SL Nyemba, BA Malin Journal of the American Medical Informatics Association 29 (9), 1584-1592, 2022 | 5 | 2022 |
| Blending knowledge in deep recurrent networks for adverse event prediction at hospital discharge P Chakraborty, J Codella, P Madan, Y Li, H Huang, Y Park, C Yan, ... AMIA Summits on Translational Science Proceedings 2021, 132, 2021 | 5 | 2021 |
| Generating Synthetic Electronic Health Record Data Using Generative Adversarial Networks: Tutorial C Yan, Z Zhang, S Nyemba, Z Li JMIR AI 3, e52615, 2024 | | 2024 |
| Distillation to Enhance the Portability of Risk Models Across Institutions with Large Patient Claims Databases S Nyamba, C Yan, Z Zhang, A Rajmane, PM Rojas, P Chakraborty, ... ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2022 | | 2022 |
| Distillation to Enhance the Portability of Risk Models Across Institutions with Large Patient Claims Database S Nyemba, C Yan, Z Zhang, A Rajmane, P Meyer, P Chakraborty, B Malin arXiv preprint arXiv:2207.02445, 2022 | | 2022 |
