| 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 | 1122 | 2008 |
| 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, 1-16, 2010 | 417 | 2010 |
| The current state of telemonitoring: a comment on the literature S Meystre Telemedicine Journal & e-Health 11 (1), 63-69, 2005 | 399 | 2005 |
| 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 | 264 | 2006 |
| 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 | 224 | 2017 |
| Clinical characterization and prediction of clinical severity of SARS-CoV-2 infection among US adults using data from the US National COVID Cohort Collaborative TD Bennett, RA Moffitt, JG Hajagos, B Amor, A Anand, MM Bissell, ... JAMA network open 4 (7), e2116901-e2116901, 2021 | 200 | 2021 |
| Automation of a problem list using natural language processing S Meystre, PJ Haug BMC medical informatics and decision making 5, 1-14, 2005 | 134 | 2005 |
| 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 | 101 | 2013 |
| From raw data to FAIR data: the FAIRification workflow for health research AA Sinaci, FJ Núñez-Benjumea, M Gencturk, ML Jauer, T Deserno, ... Methods of information in medicine 59 (S 01), e21-e32, 2020 | 91 | 2020 |
| 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 | 84 | 2015 |
| 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 | 82 | 2020 |
| An artificial intelligence approach to COVID-19 infection risk assessment in virtual visits: A case report JS Obeid, M Davis, M Turner, SM Meystre, PM Heider, EC O'Bryan, ... Journal of the American Medical Informatics Association 27 (8), 1321-1325, 2020 | 78 | 2020 |
| Evaluating the informatics for integrating biology and the bedside system for clinical research VG Deshmukh, SM Meystre, JA Mitchell BMC medical research methodology 9, 1-12, 2009 | 76 | 2009 |
| 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 | 74 | 2014 |
| 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 | 68 | 2008 |
| Medical data privacy handbook A Gkoulalas-Divanis, G Loukides Springer, 2015 | 67 | 2015 |
| 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, 1-16, 2012 | 67 | 2012 |
| 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 | 65 | 2014 |
| Comparing natural language processing tools to extract medical problems from narrative text SM Meystre, PJ Haug AMIA annual symposium proceedings 2005, 525, 2005 | 62 | 2005 |
| Automatic trial eligibility surveillance based on unstructured clinical data SM Meystre, PM Heider, Y Kim, DB Aruch, CD Britten International journal of medical informatics 129, 13-19, 2019 | 56 | 2019 |
Youngjun KimMedical University of South CarolinaVerified email at musc.edu
