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| A systematic analysis of FDA-approved anticancer drugs J Sun, Q Wei, Y Zhou, J Wang, Q Liu, H Xu BMC systems biology 11, 1-17, 2017 | 388 | 2017 |
| Extracting psychiatric stressors for suicide from social media using deep learning J Du, Y Zhang, J Luo, Y Jia, Q Wei, C Tao, H Xu BMC medical informatics and decision making 18, 77-87, 2018 | 190 | 2018 |
| BERT-based Ranking for Biomedical Entity Normalization Z Ji, W Qiang, X Hua arXiv preprint arXiv:1908.03548, 2019 | 163 | 2019 |
| DCDB 2.0: a major update of the drug combination database Y Liu, Q Wei, G Yu, W Gai, Y Li, X Chen Database 2014, 2014 | 131 | 2014 |
| A study of deep learning approaches for medication and adverse drug event extraction from clinical text Q Wei, Z Ji, Z Li, J Du, J Wang, J Xu, Y Xiang, F Tiryaki, S Wu, Y Zhang, ... Journal of the American Medical Informatics Association 27 (1), 13-21, 2020 | 117 | 2020 |
| 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, 2019 | 86 | 2019 |
| UTH_CCB System for Adverse Drug Reaction Extraction from Drug Labels at TAC-ADR 2017. J Xu, HJ Lee, Z Ji, J Wang, Q Wei, H Xu TAC, 2017 | 57 | 2017 |
| Cost-aware active learning for named entity recognition in clinical text Q Wei, Y Chen, M Salimi, JC Denny, Q Mei, TA Lasko, Q Chen, S Wu, ... Journal of the American Medical Informatics Association 26 (11), 1314-1322, 2019 | 42 | 2019 |
| A comparative study of pre-trained language models for named entity recognition in clinical trial eligibility criteria from multiple corpora J Li, Q Wei, O Ghiasvand, M Chen, V Lobanov, C Weng, H Xu BMC medical informatics and decision making 22 (Suppl 3), 235, 2022 | 33 | 2022 |
| UTH-CCB@ BioCreative V CDR task: identifying chemical-induced disease relations in biomedical text J Xu, Y Wu, Y Zhang, J Wang, R Liu, Q Wei, H Xu Proceedings of the fifth biocreative challenge evaluation Workshop, 254-259, 2015 | 29 | 2015 |
| Applying a deep learning-based sequence labeling approach to detect attributes of medical concepts in clinical text J Xu, Z Li, Q Wei, Y Wu, Y Xiang, HJ Lee, Y Zhang, S Wu, H Xu BMC medical informatics and decision making 19, 1-8, 2019 | 26 | 2019 |
| Clinical text annotation – what factors are associated with the cost of time? Q Wei, A Franklin, T Cohen, H Xu AMIA Annual Symposium Proceedings, 2018, 1552–1560, 2018 | 20 | 2018 |
| Jingcheng Du, Jingqi Wang, Jun Xu, Yang Xiang, Firat Tiryaki, Stephen Wu, Yaoyun Zhang, et al. 2020. A study of deep learning approaches for medication and adverse drug event … Q Wei, Z Ji, Z Li Journal of the American Medical Informatics Association 27 (1), 13-21, 2020 | 19 | 2020 |
| Human interactome resource and gene set linkage analysis for the functional interpretation of biologically meaningful gene sets X Zhou, P Chen, Q Wei, X Shen, X Chen Bioinformatics 29 (16), 2024-2031, 2013 | 18 | 2013 |
| Prompt Tuning in Biomedical Relation Extraction J He, F Li, J Li, X Hu, Y Nian, Y Xiang, J Wang, Q Wei, Y Li, H Xu, C Tao Journal of Healthcare Informatics Research 8 (2), 206-224, 2024 | 15 | 2024 |
| Leveraging a health information exchange for analyses of COVID-19 outcomes including an example application using smoking history and mortality GA Tortolero, MR Brown, SV Sharma, MC de Oliveira Otto, JM Yamal, ... PLoS One 16 (6), e0247235, 2021 | 10 | 2021 |
| Recognizing software names in biomedical literature using machine learning Q Wei, Y Zhang, M Amith, R Lin, J Lapeyrolerie, C Tao, H Xu Health informatics journal 26 (1), 21-33, 2020 | 10 | 2020 |
| Cost-sensitive active learning for phenotyping of electronic health records Z Ji, Q Wei, A Franklin, T Cohen, H Xu AMIA Summits on Translational Science Proceedings 2019, 829, 2019 | 8 | 2019 |
| Enhancing early detection of cognitive decline in the elderly: a comparative study utilizing large language models in clinical notes X Du, J Novoa-Laurentiev, JM Plasek, YW Chuang, L Wang, GA Marshall, ... EBioMedicine 109, 2024 | 7 | 2024 |
