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Stephen Wu
Stephen Wu
Associate Professor, UTHealth
在 uth.tmc.edu 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
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
1902013
Enhancing clinical concept extraction with distributional semantics
S Jonnalagadda, T Cohen, S Wu, G Gonzalez
Journal of biomedical informatics 45 (1), 129-140, 2012
1522012
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
1452013
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
1372014
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
1012012
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
962020
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
852014
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
782013
Dependency parser-based negation detection in clinical narratives
S Sohn, S Wu, CG Chute
AMIA Summits on Translational Science Proceedings 2012, 1, 2012
772012
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
742019
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
682010
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
552014
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
502012
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
492018
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
462014
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
422016
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
422011
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
392012
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
382020
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