| Deep sequencing of the MHC region in the Chinese population contributes to studies of complex disease F Zhou, H Cao, X Zuo, T Zhang, X Zhang, X Liu, R Xu, G Chen, Y Zhang, ... Nature genetics 48 (7), 740-746, 2016 | 210 | 2016 |
| Criteria2Query: a natural language interface to clinical databases for cohort definition C Yuan, PB Ryan, C Ta, Y Guo, Z Li, J Hardin, R Makadia, P Jin, N Shang, ... Journal of the American Medical Informatics Association 26 (4), 294-305, 2019 | 175 | 2019 |
| EliIE: An open-source information extraction system for clinical trial eligibility criteria T Kang, S Zhang, Y Tang, GW Hruby, A Rusanov, N Elhadad, C Weng Journal of the American Medical Informatics Association 24 (6), 1062-1071, 2017 | 123 | 2017 |
| UMLS-based data augmentation for natural language processing of clinical research literature T Kang, A Perotte, Y Tang, C Ta, C Weng Journal of the American Medical Informatics Association 28 (4), 812-823, 2021 | 61 | 2021 |
| Pretraining to recognize PICO elements from randomized controlled trial literature T Kang, S Zou, C Weng MEDINFO 2019: Health and Wellbeing e-Networks for All, 188-192, 2019 | 53 | 2019 |
| Speculation detection for Chinese clinical notes: impacts of word segmentation and embedding models S Zhang, T Kang, X Zhang, D Wen, N Elhadad, J Lei Journal of biomedical informatics 60, 334-341, 2016 | 47 | 2016 |
| Detecting negation and scope in Chinese clinical notes using character and word embedding T Kang, S Zhang, N Xu, D Wen, X Zhang, J Lei Computer methods and programs in biomedicine 140, 53-59, 2017 | 23 | 2017 |
| The representativeness of eligible patients in type 2 diabetes trials: a case study using GIST 2.0 A Sen, A Goldstein, S Chakrabarti, N Shang, T Kang, A Yaman, PB Ryan, ... Journal of the American Medical Informatics Association 25 (3), 239-247, 2018 | 21 | 2018 |
| 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 | 18 | 2018 |
| Initial readability assessment of clinical trial eligibility criteria T Kang, N Elhadad, C Weng AMIA Annual Symposium Proceedings 2015, 687, 2015 | 17 | 2015 |
| A neuro-symbolic method for understanding free-text medical evidence T Kang, A Turfah, J Kim, A Perotte, C Weng Journal of the American Medical Informatics Association 28 (8), 1703-1711, 2021 | 13 | 2021 |
| Construction of disease similarity networks using concept embedding and ontology DH Wei, T Kang, HA Pincus, C Weng Studies in health technology and informatics 264, 442, 2019 | 12 | 2019 |
| A data element-function conceptual model for data quality checks JR Rogers, TJ Callahan, T Kang, A Bauck, R Khare, JS Brown, MG Kahn, ... eGEMs 7 (1), 2019 | 12 | 2019 |
| EvidenceMap: a three-level knowledge representation for medical evidence computation and comprehension T Kang, Y Sun, JH Kim, C Ta, A Perotte, K Schiffer, M Wu, Y Zhao, ... Journal of the American Medical Informatics Association 30 (6), 1022-1031, 2023 | 11 | 2023 |
| Cataloguing treatments discussed and used in online autism communities S Zhang, T Kang, L Qiu, W Zhang, Y Yu, N Elhadad Proceedings of the 26th International Conference on World Wide Web, 123-131, 2017 | 10 | 2017 |
| Extending PICO with observation normalization for evidence computing A Turfah, H Liu, LA Stewart, T Kang, C Weng MEDINFO 2021: One World, One Health–Global Partnership for Digital …, 2022 | 5 | 2022 |
| Representation and normalization of complex interventions for evidence computing Z Chen, H Liu, S Liao, M Bernard, T Kang, LA Stewart, C Weng MEDINFO 2021: One World, One Health–Global Partnership for Digital …, 2022 | 2 | 2022 |
| Criteria2Query: Automatically Transforming Clinical Research Eligibility Criteria Text to OMOP Common Data Model (CDM)-based Cohort Queries. C Yuan, PB Ryan, Y Guo, P Jin, T Kang, C Weng AMIA, 2017 | 1 | 2017 |
| Towards Unified Medical Evidence Computation from Literature for Evidence-based Medicine T Kang Columbia University, 2021 | | 2021 |