| 2022 | AMIA | Post-Hoc Ensemble Generation for Clinical NLP: A Study of Concept Recognition, Normalization, and Context Attributes. | Paul M. Heider, Kexin Chen, Ronak Pipaliya, Stphane M. Meystre |
| 2021 | AMIA | Colonizing Microbiome as a Determinant of COVID-19 Outcome: A Pilot Study. | Alexander V. Alekseyenko, Bashir Hamidi, Stphane M. Meystre |
| 2021 | AMIA | Overview and Descriptive Analysis of a New Ontology for Normalizing Section Types in Unstructured Clinical Notes. | Paul M. Heider, Stphane M. Meystre |
| 2021 | AMIA | Evaluating the Downstream Performance Impact of Various Common Off-the-Shelf Clinical NLP Components. | Paul M. Heider, Stphane M. Meystre |
| 2021 | AMIA | Clinical Concept Extraction Using Contextual String Embeddings. | Youngjun Kim, Paul M. Heider, Stphane M. Meystre |
| 2021 | AMIA | Natural Language Processing and COVID-19 Predictive Analytics to Enable and Optimize SARS-CoV-2 Pooled Testing. | Stphane M. Meystre, Paul M. Heider, Jihad S. Obeid, Alexander V. Alekseyenko, James E. Madory |
| 2020 | AMIA | A Meta-Analysis of Medical Concept Normalization Using Hierarchical Ontological Relations and Semantic Types. | Paul M. Heider, Youngjun Kim, Stphane M. Meystre |
| 2020 | AMIA | Comparative Study of Various Approaches for Ensemble-based De-identification of Electronic Health Record Narratives. | Youngjun Kim, Paul M. Heider, Stphane M. Meystre |
| 2020 | AMIA | Improving De-identification of Clinical Text with Contextualized Embeddings. | Youngjun Kim, Stphane M. Meystre |
| 2020 | AMIA | De-Identification of Clinical Text: Stakeholders' Perspectives and Acceptance of Automatic De-Identification. | Stphane M. Meystre, Jonathan C. Silverstein, Guergana Savova, Valentina Petkov, Bradley A. Malin |
| 2019 | AMIA | Cancer Type Classification by Jointly Using Words and Concepts from Electronic Health Record Text Notes. | Youngjun Kim, Stphane M. Meystre |
| 2019 | AMIA | Text De-Identification Impact on Subsequent Machine Learning Applications. | Gary Underwood, Andrew Trice, Youngjun Kim, Jean-Karlo Accetta, Stphane M. Meystre |
| 2018 | AMIA | Ensemble-based Methods to Improve De-identification of Electronic Health Record Narratives. | Youngjun Kim, Paul M. Heider, Stphane M. Meystre |
| 2018 | AMIA | Automatic Text De-Identification: How and When is it Acceptable? | Stphane M. Meystre, David S. Carrell, Lynette Hirschman, John S. Aberdeen, Paul Fearn, Valentina Petkov, Jonathan C. Silverstein |
| 2018 | AMIA | Clinical Text Automatic De-Identification to Support Large Scale Data Reuse and Sharing: Pilot Results. | Stphane M. Meystre, Paul M. Heider, Youngjun Kim, Andrew Trice, Gary Underwood |
| 2017 | AIME | Semi-automated Ontology Development and Management System Applied to Medically Unexplained Syndromes in the U.S. Veterans Population. | Stphane M. Meystre, Kristina Doing-Harris |
| 2017 | AMIA | Exploiting Unlabeled Texts with Clustering-based Instance Selection for Medical Relation Classification. | Youngjun Kim, Ellen Riloff, Stphane M. Meystre |
| 2017 | AMIA | Identifying Falls Risk Screenings Not Documented with Administrative Codes Using Natural Language Processing. | Vivienne J. Zhu, Tina Walker, Robert W. Warren, Peggy Jenny, Stphane M. Meystre, Leslie A. Lenert |
| 2016 | AMIA | Temporally Classifying Clinical Events Relative to Document Creation Time. | Abdulrahman Khalifa, Stphane M. Meystre |
| 2016 | AMIA | Natural Language Processing Working Group Pre-Symposium: Graduate Student Consortium and 'Hackathon'. | Stphane M. Meystre, Hongfang Liu, Rong Xu, Sivaram Arabandi, Kavishwar B. Wagholikar, Jon D. Patrick, Guergana K. Savova, Chunhua Weng, Pierre Zweigenbaum, Dina Demner-Fushman, zlem Uzuner, Hua Xu |
| 2016 | AMIA | Automated Dynamic Problem and Allergy Lists for Efficient Electronic Health Record Management. | Stphane M. Meystre, Jianyin Shao, Greg M. Jones |
| 2015 | AMIA | Improving Detection of Reasons Not to Take a Medication by Leveraging Medication Prescription Status. | Youngjun Kim, Jennifer H. Garvin, Julia Heavirland, Stphane M. Meystre |
| 2015 | AMIA | State of the Art of Clinical Narrative Report De-Identification and Its Future. | zlem Uzuner, John S. Aberdeen, Stphane M. Meystre, Mehmet Kayaalp |
| 2014 | AMIA | Medication Prescription Status Classification in Clinical Narrative Documents. | Youngjun Kim, Jennifer H. Garvin, Julia Heavirland, Jenifer Williams, Stphane M. Meystre |
| 2014 | AMIA | Congestive Heart Failure Information Extraction Framework (CHIEF) Evaluation. | Stphane M. Meystre, Youngjun Kim, Andrew Redd, Jennifer H. Garvin |
| 2014 | AMIA | Effect of Pre-annotation on Annotation Time. | Andrew Redd, Youngjun Kim, Stphane M. Meystre, Julia Heavirland, Allison Weaver, Jenifer Williams, Jennifer H. Garvin |
| 2014 | AMIA | A System Usability Study Assessing a Machine-Assisted Interactive Interface to Support Annotation of Protected Health Information in Clinical Texts. | Brett R. South, Danielle L. Mowery, Chris Leng, Stphane M. Meystre, Wendy W. Chapman |
| 2013 | AMIA | Automated Concept and Relationship Extraction for Ontology Development. | Kristina Doing-Harris, Narong Boonsirisumpun, Kristin Potter, Yarden Livnat, Stphane M. Meystre |
| 2013 | AMIA | Semi-automated Ontology Development System for Medically Unexplained Syndromes in the U.S. Veterans Population. | Stphane M. Meystre, Kristina Doing-Harris, Narong Boonsirisumpun, Yarden Livnat, Kristin Potter |
| 2013 | AMIA | Pediatric Acute Appendicitis Treatment Devices Automatic Extraction from Diagnostic Imaging Reports in a Multi-Institutional Clinical Repository. | Stphane M. Meystre, Ramkiran Gouripeddi, Abhisek Trivedi, Shawn Rangel |
| 2012 | AMIA | Domain and Application Ontologies for Medically Unexplained Syndromes. | Kristina Doing-Harris, Stphane M. Meystre, Matthew H. Samore, Werner Ceusters |
| 2012 | AMIA | Generalizability and Comparison of Automatic Clinical Text De-Identification Methods and Resources. | scar Ferrndez, Brett R. South, Shuying Shen, F. Jeffrey Friedlin, Matthew H. Samore, Stphane M. Meystre |
| 2012 | AMIA | Determining Section Types to Capture Key Clinical Data for Automation of Quality Measurement for Inpatients with Chronic Heart Failure. | Jennifer H. Garvin, Julia Heavirland, Allison Weaver, Youngjun Kim, Bruce E. Bray, Daniel Bolton, Carol Hope, Andrew Redd, Sarah A. Maulden, Stphane M. Meystre |
| 2012 | AMIA | A Survey of VHA Privacy Officers for the External Use of Automatically De-Identified Clinical Documents. | Neil Nokes, Stphane M. Meystre, Brett R. South, Jeffrey Scehnet, Shuying Shen, scar Ferrndez, F. Jeffrey Friedlin, Matthew Maw, Matthew H. Samore |
| 2012 | AMIA | On the Road Towards Developing a Publicly Available Corpus of De-identified Clinical Texts. | Brett R. South, Danielle L. Mowery, scar Ferrndez, Shuying Shen, Ying Suo, Mingyuan Zhang, Annie Chen, Liqin Wang, Stphane M. Meystre, Wendy Webber Chapman |
| 2011 | ACL | Improving Classification of Medical Assertions in Clinical Notes. | Youngjun Kim, Ellen Riloff, Stphane M. Meystre |
| 2009 | AIME | Detecting Intuitive Mentions of Diseases in Narrative Clinical Text. | Stphane M. Meystre |
| 2009 | AMIA | Inductive Creation of an Annotation Schema and a Reference Standard for De-identification of VA Electronic Clinical Notes. | Jeanmarie Mayer, Shuying Shen, Brett R. South, Stphane M. Meystre, F. Jeff Friedlin, William R. Ray, Matthew H. Samore |
| 2009 | AMIA | A Clinical Use Case to Evaluate the i2b2 Hive: Predicting Asthma Exacerbations. | Stphane M. Meystre, Vikrant G. Deshmukh, Joyce A. Mitchell |
| 2006 | AMIA | Improving the Sensitivity of the Problem List in an Intensive Care Unit by Using Natural Language Processing. | Stphane M. Meystre, Peter J. Haug |
| 2005 | AMIA | Comparing Natural Language Processing Tools to Extract Medical Problems from Narrative Text. | Stphane M. Meystre, Peter J. Haug |
| 2003 | AMIA | Medical Problem and Document Model for Natural Language Understanding. | Stphane M. Meystre, Peter J. Haug |