Sunghwan Sohn
Sunghwan Sohn
Associate Professor of Biomedical Informatics, Mayo Clinic
Verified email at
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Mayo clinical Text Analysis and Knowledge Extraction System (cTAKES): architecture, component evaluation and applications
GK Savova, JJ Masanz, PV Ogren, J Zheng, S Sohn, KC Kipper-Schuler, ...
Journal of the American Medical Informatics Association 17 (5), 507-513, 2010
Clinical information extraction applications: a literature review
Y Wang, L Wang, M Rastegar-Mojarad, S Moon, F Shen, N Afzal, S Liu, ...
Journal of biomedical informatics 77, 34-49, 2018
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
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
Drug side effect extraction from clinical narratives of psychiatry and psychology patients
S Sohn, JPA Kocher, CG Chute, GK Savova
Journal of the American Medical Informatics Association 18 (Supplement_1…, 2011
DEEPEN: A negation detection system for clinical text incorporating dependency relation into NegEx
S Mehrabi, A Krishnan, S Sohn, AM Roch, H Schmidt, J Kesterson, ...
Journal of biomedical informatics 54, 213-219, 2015
Abbreviation definition identification based on automatic precision estimates
S Sohn, DC Comeau, W Kim, WJ Wilbur
BMC bioinformatics 9 (1), 1-10, 2008
Deep learning and alternative learning strategies for retrospective real-world clinical data
D Chen, S Liu, P Kingsbury, S Sohn, CB Storlie, EB Habermann, ...
NPJ digital medicine 2 (1), 1-5, 2019
MedXN: an open source medication extraction and normalization tool for clinical text
S Sohn, C Clark, SR Halgrim, SP Murphy, CG Chute, H Liu
Journal of the American Medical Informatics Association 21 (5), 858-865, 2014
A clinical text classification paradigm using weak supervision and deep representation
Y Wang, S Sohn, S Liu, F Shen, L Wang, EJ Atkinson, S Amin, H Liu
BMC medical informatics and decision making 19 (1), 1-13, 2019
Optimal Training Sets for Bayesian Prediction of MeSH Assignment
S Sohn, W Kim, DC Comeau, WJ Wilbur
Journal of the American Medical Informatics Association 15 (4), 546-553, 2008
Mayo clinic smoking status classification system: extensions and improvements
S Sohn, GK Savova
AMIA Annual Symposium Proceedings 2009, 619, 2009
Dependency parser-based negation detection in clinical narratives
S Sohn, S Wu, CG Chute
AMIA Summits on Translational Science Proceedings 2012, 1, 2012
Comprehensive temporal information detection from clinical text: medical events, time, and TLINK identification
S Sohn, KB Wagholikar, D Li, SR Jonnalagadda, C Tao, ...
Journal of the American Medical Informatics Association 20 (5), 836-842, 2013
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
Temporal pattern and association discovery of diagnosis codes using deep learning
S Mehrabi, S Sohn, D Li, JJ Pankratz, T Therneau, JLS Sauver, H Liu, ...
2015 International Conference on Healthcare Informatics, 408-416, 2015
Mining peripheral arterial disease cases from narrative clinical notes using natural language processing
N Afzal, S Sohn, S Abram, CG Scott, R Chaudhry, H Liu, IJ Kullo, ...
Journal of vascular surgery 65 (6), 1753-1761, 2017
Natural language processing of clinical notes for identification of critical limb ischemia
N Afzal, VP Mallipeddi, S Sohn, H Liu, R Chaudhry, CG Scott, IJ Kullo, ...
International journal of medical informatics 111, 83-89, 2018
Toward a learning health-care system–knowledge delivery at the point of care empowered by big data and NLP
VC Kaggal, RK Elayavilli, S Mehrabi, JJ Pankratz, S Sohn, Y Wang, D Li, ...
Biomedical informatics insights 8, BII. S37977, 2016
Clinical documentation variations and NLP system portability: a case study in asthma birth cohorts across institutions
S Sohn, Y Wang, CI Wi, EA Krusemark, E Ryu, MH Ali, YJ Juhn, H Liu
Journal of the American Medical Informatics Association 25 (3), 353-359, 2018
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