Stephen Wu

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Bendraautoriai

Hongfang LiuUniversity of Texas Health Science Center at HoustonPatvirtintas el. paštas uth.tmc.edu
Sunghwan SohnProfessor of Biomedical Informatics, Mayo ClinicPatvirtintas el. paštas mayo.edu
Hua XuRobert T. McCluskey Professor, Section of Biomedical Informatics and Data Science, Yale UniversityPatvirtintas el. paštas yale.edu
Kavishwar Wagholikar, MBBS, PhDHarvard Medical School/ Massachusetts General HospitalPatvirtintas el. paštas mgh.harvard.edu
Christopher G. ChuteBloomberg Distinguished Professor of Health Informatics, Johns HopkinsPatvirtintas el. paštas jhu.edu
Siddhartha "Sid J Reddy" JonnalagaddaGooglePatvirtintas el. paštas berkeley.edu
Jingcheng Du, Ph.D.School of Biomedical Informatics, UTHealthPatvirtintas el. paštas uth.tmc.edu
Cui TaoDepartment of AI and Informatics, Mayo ClinicPatvirtintas el. paštas mayo.edu
Dingcheng LiResearch Scientist, CCL and Ex_BDL, Baidu USPatvirtintas el. paštas mayo.edu
Lane SchwartzAssistant Professor, University of Illinois at Urbana-ChampaignPatvirtintas el. paštas illinois.edu
Graciela Gonzalez-HernandezDep. of Computational Biomedicine, Cedars-Sinai Medical CenterPatvirtintas el. paštas cshs.org
Dongqing ZhuPatvirtintas el. paštas cis.udel.edu
Tim MillerAssociate Professor, Boston Childrens Hospital and Harvard Medical SchoolPatvirtintas el. paštas childrens.harvard.edu
Ashutosh JadhavResearch Staff Member at IBM Research, Almaden, CaliforniaPatvirtintas el. paštas us.ibm.com
William Hersh, MD, FACP, FACMI, FA...Oregon Health & Science UniversityPatvirtintas el. paštas ohsu.edu
Nigam ShahProfessor of Medicine, and Biomedical Data Science, Stanford UniversityPatvirtintas el. paštas stanford.edu
Chris Callison-BurchProfessor, University of PennsylvaniaPatvirtintas el. paštas upenn.edu
Manabu ToriiKaiser PermanentePatvirtintas el. paštas kp.org
Mark MusenStanford Medicine Professor of Biomedical Informatics Research, Stanford UniversityPatvirtintas el. paštas stanford.edu
Wendy ChapmanUniversity of MelbournePatvirtintas el. paštas unimelb.edu.au

Stebėti

Stephen Wu

Associate Professor, UTHealth

Patvirtintas el. paštas uth.tmc.edu - Pagrindinis puslapis

Computational semantics Information retrieval Medical informatics Social networks


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
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	413*	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	199	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	148	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	145	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	104	2020
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	103	2012
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	81	2013
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	80	2019
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
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	71	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	53	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	50	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	47	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	43	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
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
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	39	2019

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