| Deep learning in clinical natural language processing: a methodical review S Wu, K Roberts, S Datta, J Du, Z Ji, Y Si, S Soni, Q Wang, Q Wei, Y Xiang, ... Journal of the American Medical Informatics Association 27 (3), 457-470, 2020 | 353 | 2020 |
| Enhancing clinical concept extraction with contextual embeddings Y Si, J Wang, H Xu, K Roberts Journal of the American Medical Informatics Association 26 (11), 1297-1304, 2019 | 320 | 2019 |
| Effects of dietary Bacillus licheniformis on growth performance, immunological parameters, intestinal morphology and resistance of juvenile Nile tilapia (Oreochromis niloticus … B Han, W Long, J He, Y Liu, Y Si, L Tian Fish & shellfish immunology 46 (2), 225-231, 2015 | 163 | 2015 |
| Deep representation learning of patient data from Electronic Health Records (EHR): A systematic review Y Si, J Du, Z Li, X Jiang, T Miller, F Wang, WJ Zheng, K Roberts Journal of biomedical informatics 115, 103671, 2021 | 145 | 2021 |
| Relation extraction from clinical narratives using pre-trained language models Q Wei, Z Ji, Y Si, J Du, J Wang, F Tiryaki, S Wu, C Tao, K Roberts, H Xu AMIA annual symposium proceedings 2019, 1236, 2019 | 74 | 2019 |
| Deep Patient Representation of Clinical Notes via Multi-Task Learning for Mortality Prediction Y Si, K Roberts AMIA Summits on Translational Science Proceedings 2019, 779, 2019 | 48 | 2019 |
| A frame-based NLP system for cancer-related information extraction Y Si, K Roberts AMIA annual symposium proceedings 2018, 1524, 2018 | 47 | 2018 |
| Understanding spatial language in radiology: Representation framework, annotation, and spatial relation extraction from chest X-ray reports using deep learning S Datta, Y Si, L Rodriguez, SE Shooshan, D Demner-Fushman, K Roberts Journal of biomedical informatics 108, 103473, 2020 | 36 | 2020 |
| Time-sensitive clinical concept embeddings learned from large electronic health records Y Xiang, J Xu, Y Si, Z Li, L Rasmy, Y Zhou, F Tiryaki, F Li, Y Zhang, Y Wu, ... BMC medical informatics and decision making 19 (2), 58, 2019 | 32 | 2019 |
| Extracting postmarketing adverse events from safety reports in the vaccine adverse event reporting system (VAERS) using deep learning J Du, Y Xiang, M Sankaranarayanapillai, M Zhang, J Wang, Y Si, ... Journal of the American Medical Informatics Association 28 (7), 1393-1400, 2021 | 27 | 2021 |
| An OMOP CDM-based relational database of clinical research eligibility criteria Y Si, C Weng MEDINFO 2017: Precision Healthcare through Informatics, 950-954, 2017 | 24 | 2017 |
| Patient representation transfer learning from clinical notes based on hierarchical attention network Y Si, K Roberts AMIA Summits on Translational Science Proceedings 2020, 597, 2020 | 23 | 2020 |
| A framenet for cancer information in clinical narratives: Schema and annotation K Roberts, Y Si, A Gandhi, E Bernstam Proceedings of the Eleventh International Conference on Language Resources …, 2018 | 18 | 2018 |
| Jingcheng Du, Zhao Li, Xiaoqian Jiang, Timothy Miller, Fei Wang, W Jim Zheng, and Kirk Roberts. Deep representation learning of patient data from electronic health records (ehr … Y Si Journal of biomedical informatics 115, 103671, 2021 | 15 | 2021 |
| The data gap in the EHR for clinical research eligibility screening A Butler, W Wei, C Yuan, T Kang, Y Si, C Weng AMIA Summits on Translational Science Proceedings 2018, 320, 2018 | 14 | 2018 |
| Jingcheng Du, Jingqi Wang, Firat Tiryaki, Stephen Wu, Cui Tao, Kirk Roberts, and Hua Xu. 2019. Relation extraction from clinical narratives using pre-trained language models Q Wei, Z Ji, Y Si AMIA annual symposium proceedings 2019, 1236, 2019 | 12 | 2019 |
| Generalized and transferable patient language representation for phenotyping with limited data Y Si, EV Bernstam, K Roberts Journal of Biomedical Informatics 116, 103726, 2021 | 9 | 2021 |
| Hierarchical transformer networks for longitudinal clinical document classification Y Si, K Roberts arXiv preprint arXiv:2104.08444, 2021 | 9 | 2021 |
| Dramatic increases in telehealth-related tweets during the early COVID-19 pandemic: A sentiment analysis T Champagne-Langabeer, MW Swank, S Manas, Y Si, K Roberts Healthcare 9 (6), 634, 2021 | 7 | 2021 |
| Three-level hierarchical transformer networks for long-sequence and multiple clinical documents classification Y Si, K Roberts arXiv preprint arXiv:2104.08444, 2021 | 3 | 2021 |
Kirk RobertsMcWilliams School of Biomedical Informatics, University of Texas Health Science Center在 uth.tmc.edu 的电子邮件经过验证
