| 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 | 379* | 2020 |
| An information extraction framework for cohort identification using electronic health records H Liu, SJ Bielinski, S Sohn, S Murphy, KB Wagholikar, SR Jonnalagadda, ... AMIA Summits on Translational Science Proceedings 2013, 149, 2013 | 190 | 2013 |
| Enhancing clinical concept extraction with distributional semantics S Jonnalagadda, T Cohen, S Wu, G Gonzalez Journal of biomedical informatics 45 (1), 129-140, 2012 | 152 | 2012 |
| Normalization and standardization of electronic health records for high-throughput phenotyping: the SHARPn consortium J Pathak, KR Bailey, CE Beebe, S Bethard, DS Carrell, PJ Chen, ... Journal of the American Medical Informatics Association 20 (e2), e341-e348, 2013 | 145 | 2013 |
| Negation’s not solved: generalizability versus optimizability in clinical natural language processing S Wu, T Miller, J Masanz, M Coarr, S Halgrim, D Carrell, C Clark PloS one 9 (11), e112774, 2014 | 137 | 2014 |
| Unified Medical Language System term occurrences in clinical notes: a large-scale corpus analysis ST Wu, H Liu, D Li, C Tao, MA Musen, CG Chute, NH Shah Journal of the American Medical Informatics Association 19 (e1), e149-e156, 2012 | 101 | 2012 |
| 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 | 96 | 2020 |
| MACE: model based analysis of ChIP-exo L Wang, J Chen, C Wang, L Uusküla-Reimand, K Chen, A Medina-Rivera, ... Nucleic acids research 42 (20), e156-e156, 2014 | 85 | 2014 |
| Automated chart review for asthma cohort identification using natural language processing: an exploratory study ST Wu, S Sohn, KE Ravikumar, K Wagholikar, SR Jonnalagadda, H Liu, ... Annals of Allergy, Asthma & Immunology 111 (5), 364-369, 2013 | 78 | 2013 |
| Dependency parser-based negation detection in clinical narratives S Sohn, S Wu, CG Chute AMIA Summits on Translational Science Proceedings 2012, 1, 2012 | 77 | 2012 |
| 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 |
| Complexity metrics in an incremental right-corner parser S Wu, A Bachrach, C Cardenas, W Schuler Proceedings of the 48th annual meeting of the association for computational …, 2010 | 68 | 2010 |
| Comparative analysis of online health queries originating from personal computers and smart devices on a consumer health information portal A Jadhav, D Andrews, A Fiksdal, A Kumbamu, JB McCormick, A Misitano, ... Journal of medical Internet research 16 (7), e160, 2014 | 55 | 2014 |
| Towards a semantic lexicon for clinical natural language processing H Liu, ST Wu, D Li, S Jonnalagadda, S Sohn, K Wagholikar, PJ Haug, ... AMIA Annual Symposium Proceedings 2012, 568, 2012 | 50 | 2012 |
| Modeling asynchronous event sequences with RNNs S Wu, S Liu, S Sohn, S Moon, C Wi, Y Juhn, H Liu Journal of biomedical informatics 83, 167-177, 2018 | 49 | 2018 |
| Using large clinical corpora for query expansion in text-based cohort identification D Zhu, S Wu, B Carterette, H Liu Journal of biomedical informatics 49, 275-281, 2014 | 46 | 2014 |
| A Part-Of-Speech term weighting scheme for biomedical information retrieval Y Wang, S Wu, D Li, S Mehrabi, H Liu Journal of biomedical informatics 63, 379-389, 2016 | 42 | 2016 |
| Incremental syntactic language models for phrase-based translation L Schwartz, C Callison-Burch, W Schuler, S Wu Proceedings of the 49th Annual Meeting of the Association for Computational …, 2011 | 42 | 2011 |
| A hybrid approach to sentiment sentence classification in suicide notes S Sohn, M Torii, D Li, K Wagholikar, S Wu, H Liu Biomedical informatics insights 5, BII. S8961, 2012 | 39 | 2012 |
| 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 | 38 | 2020 |
Hongfang LiuUniversity of Texas Health Science Center at Houston在 uth.tmc.edu 的电子邮件经过验证
