| 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 | 180 | 2018 |
| Extracting comprehensive clinical information for breast cancer using deep learning methods X Zhang, Y Zhang, Q Zhang, Y Ren, T Qiu, J Ma, Q Sun International journal of medical informatics 132, 103985, 2019 | 150 | 2019 |
| A Study of Neural Word Embeddings for Named Entity Recognition in Clinical Text Y Wu, J Xu, M Jiang, Y Zhang, H Xu American Medical Informatics Association Annual Symposium, 2015 | 132 | 2015 |
| Clinical Abbreviation Disambiguation Using Neural Word Embeddings Y Wu, J Xu, Y Zhang, H Xu ACL-IJCNLP, 2015 | 128 | 2015 |
| 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 | 103 | 2020 |
| Predicting post-stroke pneumonia using deep neural network approaches Y Ge, Q Wang, L Wang, H Wu, C Peng, J Wang, Y Xu, G Xiong, Y Zhang, ... International journal of medical informatics 132, 103986, 2019 | 90 | 2019 |
| CD-REST: a system for extracting chemical-induced disease relation in literature J Xu, Y Wu, Y Zhang, J Wang, HJ Lee, X Hua Database, 2016 | 85 | 2016 |
| Citation Sentiment Analysis in Clinical Trial Papers J Xu, Y Zhang, Y Wu, J Wang, X Dong, H Xu AMIA Annu Symp Proc, 2015 | 78 | 2015 |
| UTHealth at SemEval-2016 task 12: an end-to-end system for temporal information extraction from clinical notes HJ Lee, H Xu, J Wang, Y Zhang, S Moon, J Xu, Y Wu Proceedings of the 10th International Workshop on Semantic Evaluation
, 2016 | 74 | 2016 |
| Integrating shortest dependency path and sentence sequence into a deep learning framework for relation extraction in clinical text Z Li, Z Yang, C Shen, J Xu, Y Zhang, H Xu BMC medical informatics and decision making 19, 1-8, 2019 | 70 | 2019 |
| UTH_CCB: A Report for SemEval 2014Task 7 Analysis of Clinical Text YZ Tang, YW Jiang, YC Xu SemEval 2014, 802, 2014 | 60 | 2014 |
| COVID-19 SignSym: a fast adaptation of a general clinical NLP tool to identify and normalize COVID-19 signs and symptoms to OMOP common data model J Wang, N Abu-el-Rub, J Gray, HA Pham, Y Zhou, FJ Manion, M Liu, ... Journal of the American Medical Informatics Association 28 (6), 1275-1283, 2021 | 57 | 2021 |
| HITSZ-ICRC: Exploiting classification approach for answer selection in community question answering Y Hou, C Tan, X Wang, Y Zhang, J Xu, Q Chen Proceedings of the 9th International Workshop on Semantic Evaluation
, 2015 | 55 | 2015 |
| Chemical named entity recognition in patents by domain knowledge and unsupervised feature learning Y Zhang, J Xu, H Chen, J Wang, Y Wu, M Prakasam, H Xu Database: The Journal of Biological Databases and Curation, 2016 | 51 | 2016 |
| Extraction of BI-RADS findings from breast ultrasound reports in Chinese using deep learning approaches S Miao, T Xu, Y Wu, H Xie, J Wang, S Jing, Y Zhang, X Zhang, Y Yang, ... International journal of medical informatics 119, 17-21, 2018 | 42 | 2018 |
| A hybrid approach to automatic de-identification of psychiatric notes HJ Lee, Y Wu, Y Zhang, J Xu, H Xu, Roberts, K. Journal of Biomedical Informatics, 2017 | 42 | 2017 |
| Exploring temporal suicidal behavior patterns on social media: Insight from Twitter analytics J Luo, J Du, C Tao, H Xu, Y Zhang Health informatics journal 26 (2), 738-752, 2020 | 41 | 2020 |
| Asthma exacerbation prediction and risk factor analysis based on a time-sensitive, attentive neural network: retrospective cohort study Y Xiang, H Ji, Y Zhou, F Li, J Du, L Rasmy, S Wu, WJ Zheng, H Xu, D Zhi, ... Journal of medical Internet research 22 (7), e16981, 2020 | 40 | 2020 |
| A Comparison of Conditional Random Fields and Structured Support Vector Machines for Chemical Entity Recognition in Biomedical Literature B Tang, Y Feng, X Wang, Y Wu, Y Zhang, M Jiang, J Wang, H Xu Journal of Cheminformatics 7 (S-1), 2015 | 38 | 2015 |
| 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, 139-148, 2019 | 33 | 2019 |
Hua XuRobert T. McCluskey Professor, Section of Biomedical Informatics and Data Science, Yale UniversityPatvirtintas el. paštas yale.edu
