| CLAMP–a toolkit for efficiently building customized clinical natural language processing pipelines E Soysal, J Wang, M Jiang, Y Wu, S Pakhomov, H Liu, H Xu Journal of the American Medical Informatics Association 25 (3), 331-336, 2018 | 310 | 2018 |
| Large-scale prediction of adverse drug reactions using chemical, biological, and phenotypic properties of drugs M Liu, Y Wu, Y Chen, J Sun, Z Zhao, X Chen, ME Matheny, H Xu Journal of the American Medical Informatics Association 19 (e1), e28-e35, 2012 | 259 | 2012 |
| Named entity recognition in Chinese clinical text using deep neural network Y Wu, M Jiang, J Lei, H Xu Studies in health technology and informatics 216, 624, 2015 | 186 | 2015 |
| Evaluation of machine-learning algorithms for predicting opioid overdose risk among medicare beneficiaries with opioid prescriptions WH Lo-Ciganic, JL Huang, HH Zhang, JC Weiss, Y Wu, CK Kwoh, ... JAMA network open 2 (3), e190968-e190968, 2019 | 154 | 2019 |
| A hybrid system for temporal information extraction from clinical text B Tang, Y Wu, M Jiang, Y Chen, JC Denny, H Xu Journal of the American Medical Informatics Association 20 (5), 828-835, 2013 | 139 | 2013 |
| Recognizing clinical entities in hospital discharge summaries using Structural Support Vector Machines with word representation features B Tang, H Cao, Y Wu, M Jiang, H Xu BMC medical informatics and decision making 13 (1), 1-10, 2013 | 123 | 2013 |
| A study of neural word embeddings for named entity recognition in clinical text Y Wu, J Xu, M Jiang, Y Zhang, H Xu AMIA annual symposium proceedings 2015, 1326, 2015 | 120 | 2015 |
| Clinical named entity recognition using deep learning models Y Wu, M Jiang, J Xu, D Zhi, H Xu AMIA annual symposium proceedings 2017, 1812, 2017 | 116 | 2017 |
| Clinical abbreviation disambiguation using neural word embeddings Y Wu, J Xu, Y Zhang, H Xu Proceedings of BioNLP 15, 171-176, 2015 | 100 | 2015 |
| A study of generalizability of recurrent neural network-based predictive models for heart failure onset risk using a large and heterogeneous EHR data set L Rasmy, Y Wu, N Wang, X Geng, WJ Zheng, F Wang, H Wu, H Xu, D Zhi Journal of biomedical informatics 84, 11-16, 2018 | 89 | 2018 |
| A comparative study of current clinical natural language processing systems on handling abbreviations in discharge summaries Y Wu, JC Denny, ST Rosenbloom, RA Miller, DA Giuse, H Xu AMIA annual symposium proceedings 2012, 997, 2012 | 80 | 2012 |
| CD-REST: a system for extracting chemical-induced disease relation in literature J Xu, Y Wu, Y Zhang, J Wang, HJ Lee, H Xu Database 2016, 2016 | 78 | 2016 |
| Clinical concept extraction using transformers X Yang, J Bian, WR Hogan, Y Wu Journal of the American Medical Informatics Association 27 (12), 1935-1942, 2020 | 75 | 2020 |
| A long journey to short abbreviations: developing an open-source framework for clinical abbreviation recognition and disambiguation (CARD) Y Wu, JC Denny, S Trent Rosenbloom, RA Miller, DA Giuse, L Wang, ... Journal of the American Medical Informatics Association 24 (e1), e79-e86, 2017 | 73 | 2017 |
| Citation sentiment analysis in clinical trial papers J Xu, Y Zhang, Y Wu, J Wang, X Dong, H Xu AMIA annual symposium proceedings 2015, 1334, 2015 | 68 | 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 | 65 | 2016 |
| Clinical entity recognition using structural support vector machines with rich features B Tang, H Cao, Y Wu, M Jiang, H Xu Proceedings of the ACM sixth international workshop on Data and text mining …, 2012 | 58 | 2012 |
| UTH_CCB: a report for semeval 2014–task 7 analysis of clinical text Y Zhang, J Wang, B Tang, Y Wu, M Jiang, Y Chen, H Xu Proceedings of the 8th International Workshop on Semantic Evaluation …, 2014 | 56 | 2014 |
| RANKING GENE-DRUG RELATIONSHIPS IN BIOMEDICAL LITERATURE USING LATENT DIRICHLET ALLOCATION Y WU, MEI LIU, W ZHENG, Z ZHAO, HUA XU | 55* | |
| A study of deep learning methods for de-identification of clinical notes in cross-institute settings X Yang, T Lyu, Q Li, CY Lee, J Bian, WR Hogan, Y Wu BMC medical informatics and decision making 19 (5), 1-9, 2019 | 51 | 2019 |
Hua XuProfessor, School of Biomedical Informatics, UTHealth在 uth.tmc.edu 的电子邮件经过验证
