| RETAIN: An Interpretable Predictive Model for Healthcare using Reverse Time Attention Mechanism E Choi, MT Bahadori, J Sun, J Kulas, A Schuetz, W Stewart Advances in Neural Information Processing Systems, 3504-3512, 2016 | 1450 | 2016 |
| Doctor ai: Predicting clinical events via recurrent neural networks E Choi, MT Bahadori, A Schuetz, WF Stewart, J Sun Machine learning for healthcare conference, 301-318, 2016 | 1406 | 2016 |
| Using recurrent neural network models for early detection of heart failure onset E Choi, A Schuetz, WF Stewart, J Sun Journal of the American Medical Informatics Association 24 (2), 361-370, 2017 | 971 | 2017 |
| Generating Multi-label Discrete Patient Records using Generative Adversarial Networks E Choi, S Biswal, B Malin, J Duke, WF Stewart, J Sun Machine Learning for Healthcare Conference, 286-305, 2017 | 746 | 2017 |
| GRAM: graph-based attention model for healthcare representation learning E Choi, MT Bahadori, L Song, WF Stewart, J Sun Proceedings of the 23rd ACM SIGKDD international conference on knowledge …, 2017 | 721 | 2017 |
| Opportunities and challenges in developing deep learning models using electronic health records data: a systematic review C Xiao, E Choi, J Sun Journal of the American Medical Informatics Association 25 (10), 1419-1428, 2018 | 708 | 2018 |
| Multi-layer representation learning for medical concepts E Choi, MT Bahadori, E Searles, C Coffey, M Thompson, J Bost, ... proceedings of the 22nd ACM SIGKDD international conference on knowledge …, 2016 | 600 | 2016 |
| Morphnet: Fast & simple resource-constrained structure learning of deep networks A Gordon, E Eban, O Nachum, B Chen, H Wu, TJ Yang, E Choi Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 394 | 2018 |
| Retainvis: Visual analytics with interpretable and interactive recurrent neural networks on electronic medical records BC Kwon, MJ Choi, JT Kim, E Choi, YB Kim, S Kwon, J Sun, J Choo IEEE transactions on visualization and computer graphics 25 (1), 299-309, 2018 | 313 | 2018 |
| Mime: Multilevel medical embedding of electronic health records for predictive healthcare E Choi, C Xiao, W Stewart, J Sun Advances in neural information processing systems 31, 2018 | 265 | 2018 |
| Learning the graphical structure of electronic health records with graph convolutional transformer E Choi, Z Xu, Y Li, M Dusenberry, G Flores, E Xue, A Dai Proceedings of the AAAI conference on artificial intelligence 34 (01), 606-613, 2020 | 263* | 2020 |
| Medical concept representation learning from electronic health records and its application on heart failure prediction E Choi, A Schuetz, WF Stewart, J Sun arXiv preprint arXiv:1602.03686, 2016 | 181 | 2016 |
| Constructing disease network and temporal progression model via context-sensitive hawkes process E Choi, N Du, R Chen, L Song, J Sun 2015 IEEE International Conference on Data Mining, 721-726, 2015 | 119 | 2015 |
| Analyzing the role of model uncertainty for electronic health records MW Dusenberry, D Tran, E Choi, J Kemp, J Nixon, G Jerfel, K Heller, ... Proceedings of the ACM Conference on Health, Inference, and Learning, 204-213, 2020 | 106 | 2020 |
| Multi-modal understanding and generation for medical images and text via vision-language pre-training JH Moon, H Lee, W Shin, YH Kim, E Choi IEEE Journal of Biomedical and Health Informatics 26 (12), 6070-6080, 2022 | 104 | 2022 |
| Integrating blockchain technology with artificial intelligence for cardiovascular medicine C Krittanawong, AJ Rogers, M Aydar, E Choi, KW Johnson, Z Wang, ... Nature Reviews Cardiology 17 (1), 1-3, 2020 | 92 | 2020 |
| Compositional obverter communication learning from raw visual input E Choi, A Lazaridou, N De Freitas arXiv preprint arXiv:1804.02341, 2018 | 84 | 2018 |
| Vid-ode: Continuous-time video generation with neural ordinary differential equation S Park, K Kim, J Lee, J Choo, J Lee, S Kim, E Choi Proceedings of the AAAI Conference on Artificial Intelligence 35 (3), 2412-2422, 2021 | 51 | 2021 |
| Apparatus and method for mobile intelligent advertizing service based on mobile user contextual matching HJ OH, CH Lee, HK Kim, PM Ryu, SJ Lim, J Heo, CK Lee, MR Choi, ... US Patent App. 13/192,059, 2012 | 44 | 2012 |
| Knowledge graph-based question answering with electronic health records J Park, Y Cho, H Lee, J Choo, E Choi Machine Learning for Healthcare Conference, 36-53, 2021 | 37 | 2021 |
Jimeng SunProfessor at University of Illinois Urbana-Champaign在 illinois.edu 的电子邮件经过验证
