Stéphane M. Meystre

Publication Activity (10 Years)

Years Active: 2003-2023
Publications (10 Years): 38

Top Topics

Natural Language

Predictive Analytics

Top Venues

J. Am. Medical Informatics Assoc.

J. Biomed. Informatics

Publications

Stéphane M. Meystre, Ruud van Stiphout, Annelies Goris, Santiago Gaitan
AI-Based Gut-Brain Axis Digital Twins. MIE (2023)
Stéphane M. Meystre, Paul M. Heider
High Accuracy Open-Source Clinical Data De-Identification: The CliniDeID Solution. MedInfo (2023)
Paul M. Heider, Kexin Chen, Ronak Pipaliya, Stéphane M. Meystre
Post-Hoc Ensemble Generation for Clinical NLP: A Study of Concept Recognition, Normalization, and Context Attributes. AMIA (2022)
Emily R. Pfaff, Andrew T. Girvin, Davera Gabriel, Kristin Kostka, Michele Morris, Matvey B. Palchuk, Harold P. Lehmann, Benjamin R. C. Amor, Mark Bissell, Katie R. Bradwell, Sigfried Gold, Stephanie S. Hong, Johanna Loomba, Amin Manna, Julie A. McMurry, Emily Niehaus, Nabeel Qureshi, Anita Walden, Xiaohan Tanner Zhang, Richard L. Zhu, Richard A. Moffitt, Christopher G. Chute, William G. Adams, Shaymaa Al-Shukri, Alfred Anzalone, Ahmad Baghal, Tellen D. Bennett, Elmer V. Bernstam, Mark M. Bissell, Brian Bush, Thomas R. Campion Jr., Victor Castro, Jack Chang, Deepa D. Chaudhari, Wenjin Chen, San Chu, James J. Cimino, Keith A. Crandall, Mark Crooks, Sara J. Deakyne Davies, John Dipalazzo, David Dorr, Dan Eckrich, Sarah E. Eltinge, Daniel G. Fort, George Golovko, Snehil Gupta, Melissa A. Haendel, Janos G. Hajagos, David A. Hanauer, Brett M. Harnett, Ronald Horswell, Nancy Huang, Steven G. Johnson, Michael Kahn, Kamil Khanipov, Curtis Kieler, Katherine Ruiz De Luzuriaga, Sarah Maidlow, Ashley Martinez, Jomol Mathew, James C. McClay, Gabriel McMahan, Brian Melancon, Stéphane M. Meystre, Lucio Miele, Hiroki Morizono, Ray Pablo, Lav P. Patel, Jimmy Phuong, Daniel J. Popham, Claudia P. Pulgarin, Carlos Santos, Indra Neil Sarkar, Nancy Sazo, Soko Setoguchi, Selvin Soby, Sirisha Surampalli, Christine Suver, Uma Maheswara Reddy Vangala, Shyam Visweswaran, James von Oehsen, Kellie M. Walters, Laura Wiley, David A. Williams, Adrian H. Zai
Synergies between centralized and federated approaches to data quality: a report from the national COVID cohort collaborative. J. Am. Medical Informatics Assoc. 29 (4) (2022)
Paul M. Heider, Stéphane M. Meystre
Overview and Descriptive Analysis of a New Ontology for Normalizing Section Types in Unstructured Clinical Notes. AMIA (2021)
Stéphane M. Meystre, Paul M. Heider, Youngjun Kim, Matthew Davis, Jihad S. Obeid, James E. Madory, Alexander V. Alekseyenko
Natural language processing enabling COVID-19 predictive analytics to support data-driven patient advising and pooled testing. J. Am. Medical Informatics Assoc. 29 (1) (2021)
Stéphane M. Meystre, Paul M. Heider, Jihad S. Obeid, Alexander V. Alekseyenko, James E. Madory
Natural Language Processing and COVID-19 Predictive Analytics to Enable and Optimize SARS-CoV-2 Pooled Testing. AMIA (2021)
Paul M. Heider, Stéphane M. Meystre
Evaluating the Downstream Performance Impact of Various Common Off-the-Shelf Clinical NLP Components. AMIA (2021)
Ronak Pipaliya, Paul M. Heider, Stéphane M. Meystre
Comparing Multiple Models for Section Header Classification with Feature Evaluation. MedInfo (2021)
Paul M. Heider, Ronak M. Pipaliya, Stéphane M. Meystre
A Natural Language Processing Tool Offering Data Extraction for COVID-19 Related Information (DECOVRI). MedInfo (2021)
Alexander V. Alekseyenko, Bashir Hamidi, Stéphane M. Meystre
Colonizing Microbiome as a Determinant of COVID-19 Outcome: A Pilot Study. AMIA (2021)
Youngjun Kim, Paul M. Heider, Stéphane M. Meystre
Clinical Concept Extraction Using Contextual String Embeddings. AMIA (2021)
Youngjun Kim, Paul M. Heider, Stéphane M. Meystre
Comparative Study of Various Approaches for Ensemble-based De-identification of Electronic Health Record Narratives. AMIA (2020)
Dee W. Ford, Jillian B. Harvey, James McElligott, Kathryn King, Kit N. Simpson, Shawn Valenta, Emily H. Warr, Tasia Walsh, Ellen Debenham, Carla Teasdale, Stéphane M. Meystre, Jihad S. Obeid, Christopher Metts, Leslie A. Lenert
Leveraging health system telehealth and informatics infrastructure to create a continuum of services for COVID-19 screening, testing, and treatment. J. Am. Medical Informatics Assoc. 27 (12) (2020)
Paul M. Heider, Youngjun Kim, Stéphane M. Meystre
A Meta-Analysis of Medical Concept Normalization Using Hierarchical Ontological Relations and Semantic Types. AMIA (2020)
Youngjun Kim, Stéphane M. Meystre
Improving De-identification of Clinical Text with Contextualized Embeddings. AMIA (2020)
Youngjun Kim, Stéphane M. Meystre
Ensemble method-based extraction of medication and related information from clinical texts. J. Am. Medical Informatics Assoc. 27 (1) (2020)
Stéphane M. Meystre, Jonathan C. Silverstein, Guergana Savova, Valentina Petkov, Bradley A. Malin
De-Identification of Clinical Text: Stakeholders' Perspectives and Acceptance of Automatic De-Identification. AMIA (2020)
Jihad S. Obeid, Matthew Davis, Matthew Turner, Stéphane M. Meystre, Paul M. Heider, Edward C. O'Bryan, Leslie A. Lenert
An artificial intelligence approach to COVID-19 infection risk assessment in virtual visits: A case report. J. Am. Medical Informatics Assoc. 27 (8) (2020)
Gary Underwood, Andrew Trice, Youngjun Kim, Jean-Karlo Accetta, Stéphane M. Meystre
Text De-Identification Impact on Subsequent Machine Learning Applications. AMIA (2019)
Stéphane M. Meystre, Paul M. Heider, Youngjun Kim, Daniel B. Aruch, Carolyn D. Britten
Automatic trial eligibility surveillance based on unstructured clinical data. Int. J. Medical Informatics 129 (2019)
Youngjun Kim, Stéphane M. Meystre
Cancer Type Classification by Jointly Using Words and Concepts from Electronic Health Record Text Notes. AMIA (2019)
Youngjun Kim, Stéphane M. Meystre
A Study of Medical Problem Extraction for Better Disease Management. MedInfo (2019)
Paul M. Heider, Stéphane M. Meystre
Patient-Pivoted Automated Trial Eligibility Pipeline: The First of Three Phases in a Modular Architecture. MedInfo (2019)
Jihad S. Obeid, Paul M. Heider, Erin R. Weeda, Andrew J. Matuskowitz, Christine M. Carr, Kevin Gagnon, Tami L. Crawford, Stéphane M. Meystre
Impact of De-Identification on Clinical Text Classification Using Traditional and Deep Learning Classifiers. MedInfo (2019)
Stéphane M. Meystre, Paul M. Heider, Youngjun Kim, Andrew Trice, Gary Underwood
Clinical Text Automatic De-Identification to Support Large Scale Data Reuse and Sharing: Pilot Results. AMIA (2018)
Youngjun Kim, Paul M. Heider, Stéphane M. Meystre
Ensemble-based Methods to Improve De-identification of Electronic Health Record Narratives. AMIA (2018)
Stéphane M. Meystre, David S. Carrell, Lynette Hirschman, John S. Aberdeen, Paul Fearn, Valentina Petkov, Jonathan C. Silverstein
Automatic Text De-Identification: How and When is it Acceptable? AMIA (2018)
Stéphane M. Meystre, Youngjun Kim, Glenn T. Gobbel, Michael E. Matheny, Andrew Redd, Bruce E. Bray, Jennifer H. Garvin
Heart Failure Data for Patient Treatment Goals at the Point of Care: Automated Data Extraction and Consistent Reference Standard Importance. CRI (2017)
Youngjun Kim, Ellen Riloff, Stéphane M. Meystre
Exploiting Unlabeled Texts with Clustering-based Instance Selection for Medical Relation Classification. AMIA (2017)
Vivienne J. Zhu, Tina Walker, Robert W. Warren, Peggy Jenny, Stéphane M. Meystre, Leslie A. Lenert
Identifying Falls Risk Screenings Not Documented with Administrative Codes Using Natural Language Processing. AMIA (2017)
Stéphane M. Meystre, Youngjun Kim, Glenn T. Gobbel, Michael E. Matheny, Andrew Redd, Bruce E. Bray, Jennifer H. Garvin
Congestive heart failure information extraction framework for automated treatment performance measures assessment. J. Am. Medical Informatics Assoc. 24 (e1) (2017)
Youngjun Kim, Jennifer H. Garvin, Mary K. Goldstein, Tammy S. Hwang, Andrew Redd, Daniel Bolton, Paul Heidenreich, Stéphane M. Meystre
Extraction of left ventricular ejection fraction information from various types of clinical reports. J. Biomed. Informatics 67 (2017)
Stéphane M. Meystre, Kristina Doing-Harris
Semi-automated Ontology Development and Management System Applied to Medically Unexplained Syndromes in the U.S. Veterans Population. AIME (2017)
Stéphane M. Meystre, Hongfang Liu, Rong Xu, Sivaram Arabandi, Kavishwar B. Wagholikar, Jon Patrick, Guergana K. Savova, Chunhua Weng, Pierre Zweigenbaum, Dina Demner-Fushman, Özlem Uzuner, Hua Xu
Natural Language Processing Working Group Pre-Symposium: Graduate Student Consortium and 'Hackathon'. AMIA (2016)
Abdulrahman Al Abdulsalam, Sumithra Velupillai, Stéphane M. Meystre
UtahBMI at SemEval-2016 Task 12: Extracting Temporal Information from Clinical Text. SemEval@NAACL-HLT (2016)
Stéphane M. Meystre, Jianyin Shao, Greg M. Jones
Automated Dynamic Problem and Allergy Lists for Efficient Electronic Health Record Management. AMIA (2016)
Abdulrahman Khalifa, Stéphane M. Meystre
Temporally Classifying Clinical Events Relative to Document Creation Time. AMIA (2016)
Youngjun Kim, Jennifer H. Garvin, Julia Heavirland, Stéphane M. Meystre
Improving Detection of Reasons Not to Take a Medication by Leveraging Medication Prescription Status. AMIA (2015)
Özlem Uzuner, John S. Aberdeen, Stéphane M. Meystre, Mehmet Kayaalp
State of the Art of Clinical Narrative Report De-Identification and Its Future. AMIA (2015)
Stéphane M. Meystre, Youngjun Kim, Julia Heavirland, Jenifer Williams, Bruce E. Bray, Jennifer H. Garvin
Heart Failure Medications Detection and Prescription Status Classification in Clinical Narrative Documents. MedInfo (2015)
Kristina Doing-Harris, Yarden Livnat, Stéphane M. Meystre
Automated concept and relationship extraction for the semi-automated ontology management (SEAM) system. J. Biomed. Semant. 6 (2015)
Abdulrahman Khalifa, Stéphane M. Meystre
Adapting existing natural language processing resources for cardiovascular risk factors identification in clinical notes. J. Biomed. Informatics 58 (2015)
Youngjun Kim, Jennifer H. Garvin, Mary K. Goldstein, Stéphane M. Meystre
Classification of Contextual Use of Left Ventricular Ejection Fraction Assessments. MedInfo (2015)
Stéphane M. Meystre, Óscar Ferrández, F. Jeffrey Friedlin, Brett R. South, Shuying Shen, Matthew H. Samore
Text de-identification for privacy protection: A study of its impact on clinical text information content. J. Biomed. Informatics 50 (2014)
Stéphane M. Meystre, Youngjun Kim, Andrew Redd, Jennifer H. Garvin
Congestive Heart Failure Information Extraction Framework (CHIEF) Evaluation. AMIA (2014)
Brett R. South, Danielle L. Mowery, Chris Leng, Stéphane M. Meystre, Wendy W. Chapman
A System Usability Study Assessing a Machine-Assisted Interactive Interface to Support Annotation of Protected Health Information in Clinical Texts. AMIA (2014)
Danielle L. Mowery, Mindy K. Ross, Sumithra Velupillai, Stéphane M. Meystre, Janyce Wiebe, Wendy W. Chapman
Generating Patient Problem Lists from the ShARe Corpus using SNOMED CT/SNOMED CT CORE Problem List. BioNLP@ACL (2014)
Andrew Redd, Youngjun Kim, Stéphane M. Meystre, Julia Heavirland, Allison Weaver, Jenifer Williams, Jennifer H. Garvin
Effect of Pre-annotation on Annotation Time. AMIA (2014)
Stéphane M. Meystre, Shuying Shen, Deborah Hofmann, Adi V. Gundlapalli
Can Physicians Recognize Their Own Patients in De-identified Notes? MIE (2014)
Brett R. South, Danielle L. Mowery, Ying Suo, Jianwei Leng, Óscar Ferrández, Stéphane M. Meystre, Wendy W. Chapman
Evaluating the effects of machine pre-annotation and an interactive annotation interface on manual de-identification of clinical text. J. Biomed. Informatics 50 (2014)
Youngjun Kim, Jennifer H. Garvin, Julia Heavirland, Jenifer Williams, Stéphane M. Meystre
Medication Prescription Status Classification in Clinical Narrative Documents. AMIA (2014)
Stéphane M. Meystre, Hercules Dalianis, John S. Aberdeen, Bradley A. Malin
Automatic Clinical Text De-Identification: Is It Worth It, and Could It Work for Me? MedInfo (2013)
Kristina Doing-Harris, Stéphane M. Meystre, Matthew H. Samore, Werner Ceusters
Applying Ontological Realism to Medically Unexplained Syndromes. MedInfo (2013)
Óscar Ferrández, Brett R. South, Shuying Shen, F. Jeffrey Friedlin, Matthew H. Samore, Stéphane M. Meystre
BoB, a best-of-breed automated text de-identification system for VHA clinical documents. J. Am. Medical Informatics Assoc. 20 (1) (2013)
Youngjun Kim, Jennifer H. Garvin, Julia Heavirland, Stéphane M. Meystre
Improving Heart Failure Information Extraction by Domain Adaptation. MedInfo (2013)
Stéphane M. Meystre, Kristina Doing-Harris, Narong Boonsirisumpun, Yarden Livnat, Kristin Potter
Semi-automated Ontology Development System for Medically Unexplained Syndromes in the U.S. Veterans Population. AMIA (2013)
Stéphane M. Meystre, Ramkiran Gouripeddi, Abhisek Trivedi, Shawn Rangel
Pediatric Acute Appendicitis Treatment Devices Automatic Extraction from Diagnostic Imaging Reports in a Multi-Institutional Clinical Repository. AMIA (2013)
Kristina Doing-Harris, Narong Boonsirisumpun, Kristin Potter, Yarden Livnat, Stéphane M. Meystre
Automated Concept and Relationship Extraction for Ontology Development. AMIA (2013)
Kristina Doing-Harris, Stéphane M. Meystre, Matthew H. Samore, Werner Ceusters
Domain and Application Ontologies for Medically Unexplained Syndromes. AMIA (2012)
Jennifer H. Garvin, Julia Heavirland, Allison Weaver, Youngjun Kim, Bruce E. Bray, Daniel Bolton, Carol Hope, Andrew Redd, Sarah A. Maulden, Stéphane M. Meystre
Determining Section Types to Capture Key Clinical Data for Automation of Quality Measurement for Inpatients with Chronic Heart Failure. AMIA (2012)
Neil Nokes, Stéphane M. Meystre, Brett R. South, Jeffrey Scehnet, Shuying Shen, Óscar Ferrández, F. Jeffrey Friedlin, Matthew Maw, Matthew H. Samore
A Survey of VHA Privacy Officers for the External Use of Automatically De-Identified Clinical Documents. AMIA (2012)
Brett R. South, Danielle L. Mowery, Óscar Ferrández, Shuying Shen, Ying Suo, Mingyuan Zhang, Annie Chen, Liqin Wang, Stéphane M. Meystre, Wendy Webber Chapman
On the Road Towards Developing a Publicly Available Corpus of De-identified Clinical Texts. AMIA (2012)
Óscar Ferrández, Brett R. South, Shuying Shen, Stéphane M. Meystre
A Hybrid Stepwise Approach for De-identifying Person Names in Clinical Documents. BioNLP@HLT-NAACL (2012)
Stéphane M. Meystre, Sanghoon Lee, Chai Young Jung, Raphaël D. Chevrier
Common data model for natural language processing based on two existing standard information models: CDA+GrAF. J. Biomed. Informatics 45 (4) (2012)
Óscar Ferrández, Brett R. South, Shuying Shen, F. Jeffrey Friedlin, Matthew H. Samore, Stéphane M. Meystre
Generalizability and Comparison of Automatic Clinical Text De-Identification Methods and Resources. AMIA (2012)
Youngjun Kim, Ellen Riloff, Stéphane M. Meystre
Improving Classification of Medical Assertions in Clinical Notes. ACL (2) (2011)
Stéphane M. Meystre, Julien Thibault, Shuying Shen, John F. Hurdle, Brett R. South
Automatically Detecting Medications and the Reason for their Prescription in Clinical Narrative Text Documents. MedInfo (2010)
Stéphane M. Meystre, Julien Thibault, Shuying Shen, John F. Hurdle, Brett R. South
Textractor: a hybrid system for medications and reason for their prescription extraction from clinical text documents. J. Am. Medical Informatics Assoc. 17 (5) (2010)
Jeanmarie Mayer, Shuying Shen, Brett R. South, Stéphane M. Meystre, F. Jeff Friedlin, William R. Ray, Matthew H. Samore
Inductive Creation of an Annotation Schema and a Reference Standard for De-identification of VA Electronic Clinical Notes. AMIA (2009)
Stéphane M. Meystre, Vikrant G. Deshmukh, Joyce A. Mitchell
A Clinical Use Case to Evaluate the i2b2 Hive: Predicting Asthma Exacerbations. AMIA (2009)
Stéphane M. Meystre
Detecting Intuitive Mentions of Diseases in Narrative Clinical Text. AIME (2009)
Stéphane M. Meystre, Peter J. Haug
Randomized controlled trial of an automated problem list with improved sensitivity. Int. J. Medical Informatics 77 (9) (2008)
Stéphane M. Meystre, Peter J. Haug
Improving the Sensitivity of the Problem List in an Intensive Care Unit by Using Natural Language Processing. AMIA (2006)
Stéphane M. Meystre, Peter J. Haug
Natural language processing to extract medical problems from electronic clinical documents: Performance evaluation. J. Biomed. Informatics 39 (6) (2006)
Stéphane M. Meystre, Peter J. Haug
Evaluation of Medical Problem Extraction from Electronic Clinical Documents Using MetaMap Transfer (MMTx). MIE (2005)
Stéphane M. Meystre, Peter J. Haug
Comparing Natural Language Processing Tools to Extract Medical Problems from Narrative Text. AMIA (2005)
Stéphane M. Meystre, Peter J. Haug
Automation of a problem list using natural language processing. BMC Medical Informatics Decis. Mak. 5 (2005)
Stéphane M. Meystre, Peter J. Haug
Medical Problem and Document Model for Natural Language Understanding. AMIA (2003)