Sunghwan Sohn
Sunghwan Sohn
Associate Professor of Biomedical Informatics, Mayo Clinic
Verified email at
Cited by
Cited by
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
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
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
Abbreviation definition identification based on automatic precision estimates
S Sohn, DC Comeau, W Kim, WJ Wilbur
BMC bioinformatics 9 (1), 402, 2008
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
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
Mayo clinic smoking status classification system: extensions and improvements
S Sohn, GK Savova
AMIA Annual Symposium Proceedings 2009, 619, 2009
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
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
Dependency parser-based negation detection in clinical narratives
S Sohn, S Wu, CG Chute
AMIA Summits on Translational Science Proceedings 2012, 1, 2012
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
Automatically extracting sentences from Medline citations to support clinicians' information needs
SR Jonnalagadda, G Del Fiol, R Medlin, C Weir, M Fiszman, J Mostafa, ...
Journal of the American Medical Informatics Association 20 (5), 995-1000, 2013
What's in a note: construction of a suicide note corpus
JP Pestian, P Matykiewicz, M Linn-Gust
Biomedical informatics insights 5, BII. S10213, 2012
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
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
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
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
Advantages of using fuzzy class memberships in self-organizing map and support vector machines
S Sohn, CH Dagli
Neural Networks, 2001. Proceedings. IJCNN'01. International Joint Conference …, 2001
The system can't perform the operation now. Try again later.
Articles 1–20