Stephane Meystre
Title
Cited by
Cited by
Year
Extracting information from textual documents in the electronic health record: a review of recent research
SM Meystre, GK Savova, KC Kipper-Schuler, JF Hurdle
Yearbook of medical informatics 17 (01), 128-144, 2008
9592008
Extracting information from textual documents in the electronic health record: a review of recent research
SM Meystre, GK Savova, KC Kipper-Schuler, JF Hurdle
Yearbook of medical informatics 17 (01), 128-144, 2008
9592008
The current state of telemonitoring: a comment on the literature
S Meystre
Telemedicine Journal & e-Health 11 (1), 63-69, 2005
3412005
Automatic de-identification of textual documents in the electronic health record: a review of recent research
SM Meystre, FJ Friedlin, BR South, S Shen, MH Samore
BMC medical research methodology 10 (1), 1-16, 2010
3142010
Natural language processing to extract medical problems from electronic clinical documents: performance evaluation
S Meystre, PJ Haug
Journal of biomedical informatics 39 (6), 589-599, 2006
2272006
Automation of a problem list using natural language processing
S Meystre, PJ Haug
BMC medical informatics and decision making 5 (1), 1-14, 2005
1122005
Clinical data reuse or secondary use: current status and potential future progress
SM Meystre, C Lovis, T Bürkle, G Tognola, A Budrionis, CU Lehmann
Yearbook of medical informatics 26 (01), 38-52, 2017
972017
BoB, a best-of-breed automated text de-identification system for VHA clinical documents
O Ferrández, BR South, S Shen, FJ Friedlin, MH Samore, SM Meystre
Journal of the American Medical Informatics Association 20 (1), 77-83, 2013
742013
Evaluating the informatics for integrating biology and the bedside system for clinical research
VG Deshmukh, SM Meystre, JA Mitchell
BMC medical research methodology 9 (1), 1-12, 2009
682009
Randomized controlled trial of an automated problem list with improved sensitivity
SM Meystre, PJ Haug
International journal of medical informatics 77 (9), 602-612, 2008
632008
Comparing natural language processing tools to extract medical problems from narrative text
SM Meystre, PJ Haug
AMIA annual symposium proceedings 2005, 525, 2005
552005
Text de-identification for privacy protection: a study of its impact on clinical text information content
SM Meystre, O Ferrández, FJ Friedlin, BR South, S Shen, MH Samore
Journal of biomedical informatics 50, 142-150, 2014
532014
Adapting existing natural language processing resources for cardiovascular risk factors identification in clinical notes
A Khalifa, S Meystre
Journal of biomedical informatics 58, S128-S132, 2015
502015
Evaluating the effects of machine pre-annotation and an interactive annotation interface on manual de-identification of clinical text
BR South, D Mowery, Y Suo, J Leng, O Ferrández, SM Meystre, ...
Journal of biomedical informatics 50, 162-172, 2014
502014
Evaluating current automatic de-identification methods with Veteran’s health administration clinical documents
O Ferrández, BR South, S Shen, FJ Friedlin, MH Samore, SM Meystre
BMC medical research methodology 12 (1), 1-16, 2012
492012
Textractor: a hybrid system for medications and reason for their prescription extraction from clinical text documents
SM Meystre, J Thibault, S Shen, JF Hurdle, BR South
Journal of the American Medical Informatics Association 17 (5), 559-562, 2010
472010
Automated concept and relationship extraction for the semi-automated ontology management (SEAM) system
K Doing-Harris, Y Livnat, S Meystre
Journal of biomedical semantics 6 (1), 1-15, 2015
422015
Evaluation of medical problem extraction from electronic clinical documents using MetaMap Transfer (MMTx)
S Meystre, PJ Haug
Studies in health technology and informatics 116, 823-828, 2005
382005
Leveraging health system telehealth and informatics infrastructure to create a continuum of services for COVID-19 screening, testing, and treatment
D Ford, JB Harvey, J McElligott, K King, KN Simpson, S Valenta, EH Warr, ...
Journal of the American Medical Informatics Association 27 (12), 1871-1877, 2020
372020
Improving the sensitivity of the problem list in an intensive care unit by using natural language processing
S Meystre, P Haug
AMIA annual symposium proceedings 2006, 554, 2006
352006
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