Stéphane M. Meystre

81 papers B 2Misc 39Journal 19Unranked 20

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Large language models for biomedicine: foundations, opportunities, challenges, and best practices. J. Am. Medical Informatics Assoc. Satya S. Sahoo, Joseph M. Plasek, Hua Xu, Özlem Uzuner, Trevor Cohen, Meliha Yetisgen, Hongfang Liu, Stéphane M. Meystre, Yanshan Wang
2023	—	`conf`	AI-Based Gut-Brain Axis Digital Twins. MIE Stéphane M. Meystre, Ruud van Stiphout, Annelies Goris, Santiago Gaitan
2023	—	`conf`	High Accuracy Open-Source Clinical Data De-Identification: The CliniDeID Solution. MedInfo Stéphane M. Meystre, Paul M. Heider
2022	Misc	`conf`	Post-Hoc Ensemble Generation for Clinical NLP: A Study of Concept Recognition, Normalization, and Context Attributes. AMIA Paul M. Heider, Kexin Chen, Ronak Pipaliya, Stéphane M. Meystre
2022	J	`jnl`	Synergies between centralized and federated approaches to data quality: a report from the national COVID cohort collaborative. J. Am. Medical Informatics Assoc. 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 A. 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 E. 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 K. Wiley, David A. Williams, Adrian H. Zai
2021	—	`conf`	A Natural Language Processing Tool Offering Data Extraction for COVID-19 Related Information (DECOVRI). MedInfo Paul M. Heider, Ronak M. Pipaliya, Stéphane M. Meystre
2021	Misc	`conf`	Clinical Concept Extraction Using Contextual String Embeddings. AMIA Youngjun Kim, Paul M. Heider, Stéphane M. Meystre
2021	Misc	`conf`	Colonizing Microbiome as a Determinant of COVID-19 Outcome: A Pilot Study. AMIA Alexander V. Alekseyenko, Bashir Hamidi, Stéphane M. Meystre
2021	—	`conf`	Comparing Multiple Models for Section Header Classification with Feature Evaluation. MedInfo Ronak Pipaliya, Paul M. Heider, Stéphane M. Meystre
2021	Misc	`conf`	Evaluating the Downstream Performance Impact of Various Common Off-the-Shelf Clinical NLP Components. AMIA Paul M. Heider, Stéphane M. Meystre
2021	Misc	`conf`	Natural Language Processing and COVID-19 Predictive Analytics to Enable and Optimize SARS-CoV-2 Pooled Testing. AMIA Stéphane M. Meystre, Paul M. Heider, Jihad S. Obeid, Alexander V. Alekseyenko, James E. Madory
2021	J	`jnl`	Natural language processing enabling COVID-19 predictive analytics to support data-driven patient advising and pooled testing. J. Am. Medical Informatics Assoc. Stéphane M. Meystre, Paul M. Heider, Youngjun Kim, Matthew Davis, Jihad S. Obeid, James E. Madory, Alexander V. Alekseyenko
2021	Misc	`conf`	Overview and Descriptive Analysis of a New Ontology for Normalizing Section Types in Unstructured Clinical Notes. AMIA Paul M. Heider, Stéphane M. Meystre
2020	Misc	`conf`	A Meta-Analysis of Medical Concept Normalization Using Hierarchical Ontological Relations and Semantic Types. AMIA Paul M. Heider, Youngjun Kim, Stéphane M. Meystre
2020	J	`jnl`	An artificial intelligence approach to COVID-19 infection risk assessment in virtual visits: A case report. J. Am. Medical Informatics Assoc. Jihad S. Obeid, Matthew Davis, Matthew Turner, Stéphane M. Meystre, Paul M. Heider, Edward C. O'Bryan, Leslie A. Lenert
2020	Misc	`conf`	Comparative Study of Various Approaches for Ensemble-based De-identification of Electronic Health Record Narratives. AMIA Youngjun Kim, Paul M. Heider, Stéphane M. Meystre
2020	Misc	`conf`	De-Identification of Clinical Text: Stakeholders' Perspectives and Acceptance of Automatic De-Identification. AMIA Stéphane M. Meystre, Jonathan C. Silverstein, Guergana Savova, Valentina Petkov, Bradley A. Malin
2020	J	`jnl`	Ensemble method-based extraction of medication and related information from clinical texts. J. Am. Medical Informatics Assoc. Youngjun Kim, Stéphane M. Meystre
2020	Misc	`conf`	Improving De-identification of Clinical Text with Contextualized Embeddings. AMIA Youngjun Kim, Stéphane M. Meystre
2020	J	`jnl`	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. Dee W. Ford, Jillian B. Harvey, James T. 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
2019	—	`conf`	A Study of Medical Problem Extraction for Better Disease Management. MedInfo Youngjun Kim, Stéphane M. Meystre
2019	J	`jnl`	Automatic trial eligibility surveillance based on unstructured clinical data. Int. J. Medical Informatics Stéphane M. Meystre, Paul M. Heider, Youngjun Kim, Daniel B. Aruch, Carolyn D. Britten
2019	Misc	`conf`	Cancer Type Classification by Jointly Using Words and Concepts from Electronic Health Record Text Notes. AMIA Youngjun Kim, Stéphane M. Meystre
2019	—	`conf`	Impact of De-Identification on Clinical Text Classification Using Traditional and Deep Learning Classifiers. MedInfo Jihad S. Obeid, Paul M. Heider, Erin R. Weeda, Andrew J. Matuskowitz, Christine M. Carr, Kevin Gagnon, Tami L. Crawford, Stéphane M. Meystre
2019	—	`conf`	Patient-Pivoted Automated Trial Eligibility Pipeline: The First of Three Phases in a Modular Architecture. MedInfo Paul M. Heider, Stéphane M. Meystre
2019	Misc	`conf`	Text De-Identification Impact on Subsequent Machine Learning Applications. AMIA Gary Underwood, Andrew Trice, Youngjun Kim, Jean-Karlo Accetta, Stéphane M. Meystre
2018	Misc	`conf`	Automatic Text De-Identification: How and When is it Acceptable? AMIA Stéphane M. Meystre, David S. Carrell, Lynette Hirschman, John S. Aberdeen, Paul Fearn, Valentina Petkov, Jonathan C. Silverstein
2018	Misc	`conf`	Clinical Text Automatic De-Identification to Support Large Scale Data Reuse and Sharing: Pilot Results. AMIA Stéphane M. Meystre, Paul M. Heider, Youngjun Kim, Andrew Trice, Gary Underwood
2018	Misc	`conf`	Ensemble-based Methods to Improve De-identification of Electronic Health Record Narratives. AMIA Youngjun Kim, Paul M. Heider, Stéphane M. Meystre
2017	J	`jnl`	Congestive heart failure information extraction framework for automated treatment performance measures assessment. J. Am. Medical Informatics Assoc. Stéphane M. Meystre, Youngjun Kim, Glenn T. Gobbel, Michael E. Matheny, Andrew Redd, Bruce E. Bray, Jennifer H. Garvin
2017	Misc	`conf`	Exploiting Unlabeled Texts with Clustering-based Instance Selection for Medical Relation Classification. AMIA Youngjun Kim, Ellen Riloff, Stéphane M. Meystre
2017	J	`jnl`	Extraction of left ventricular ejection fraction information from various types of clinical reports. J. Biomed. Informatics Youngjun Kim, Jennifer H. Garvin, Mary K. Goldstein, Tammy S. Hwang, Andrew Redd, Daniel Bolton, Paul Heidenreich, Stéphane M. Meystre
2017	—	`conf`	Heart Failure Data for Patient Treatment Goals at the Point of Care: Automated Data Extraction and Consistent Reference Standard Importance. CRI Stéphane M. Meystre, Youngjun Kim, Glenn T. Gobbel, Michael E. Matheny, Andrew Redd, Bruce E. Bray, Jennifer H. Garvin
2017	Misc	`conf`	Identifying Falls Risk Screenings Not Documented with Administrative Codes Using Natural Language Processing. AMIA Vivienne J. Zhu, Tina Walker, Robert W. Warren, Peggy Jenny, Stéphane M. Meystre, Leslie A. Lenert
2017	B	`conf`	Semi-automated Ontology Development and Management System Applied to Medically Unexplained Syndromes in the U.S. Veterans Population. AIME Stéphane M. Meystre, Kristina Doing-Harris
2016	Misc	`conf`	Automated Dynamic Problem and Allergy Lists for Efficient Electronic Health Record Management. AMIA Stéphane M. Meystre, Jianyin Shao, Greg M. Jones
2016	Misc	`conf`	Natural Language Processing Working Group Pre-Symposium: Graduate Student Consortium and 'Hackathon'. AMIA Stéphane M. Meystre, Hongfang Liu, Rong Xu, Sivaram Arabandi, Kavishwar B. Wagholikar, Jon D. Patrick, Guergana K. Savova, Chunhua Weng, Pierre Zweigenbaum, Dina Demner-Fushman, Özlem Uzuner, Hua Xu
2016	Misc	`conf`	Temporally Classifying Clinical Events Relative to Document Creation Time. AMIA Abdulrahman Khalifa, Stéphane M. Meystre
2016	—	`conf`	UtahBMI at SemEval-2016 Task 12: Extracting Temporal Information from Clinical Text. SemEval@NAACL-HLT Abdulrahman Al Abdulsalam, Sumithra Velupillai, Stéphane M. Meystre
2015	J	`jnl`	Adapting existing natural language processing resources for cardiovascular risk factors identification in clinical notes. J. Biomed. Informatics Abdulrahman Khalifa, Stéphane M. Meystre
2015	J	`jnl`	Automated concept and relationship extraction for the semi-automated ontology management (SEAM) system. J. Biomed. Semant. Kristina Doing-Harris, Yarden Livnat, Stéphane M. Meystre
2015	—	`conf`	Classification of Contextual Use of Left Ventricular Ejection Fraction Assessments. MedInfo Youngjun Kim, Jennifer H. Garvin, Mary K. Goldstein, Stéphane M. Meystre
2015	—	`ch.`	De-identification of Unstructured Clinical Data for Patient Privacy Protection. Medical Data Privacy Handbook Stéphane M. Meystre
2015	—	`conf`	Heart Failure Medications Detection and Prescription Status Classification in Clinical Narrative Documents. MedInfo Stéphane M. Meystre, Youngjun Kim, Julia Heavirland, Jenifer Williams, Bruce E. Bray, Jennifer H. Garvin
2015	Misc	`conf`	Improving Detection of Reasons Not to Take a Medication by Leveraging Medication Prescription Status. AMIA Youngjun Kim, Jennifer H. Garvin, Julia Heavirland, Stéphane M. Meystre
2015	Misc	`conf`	State of the Art of Clinical Narrative Report De-Identification and Its Future. AMIA Özlem Uzuner, John S. Aberdeen, Stéphane M. Meystre, Mehmet Kayaalp
2014	Misc	`conf`	A System Usability Study Assessing a Machine-Assisted Interactive Interface to Support Annotation of Protected Health Information in Clinical Texts. AMIA Brett R. South, Danielle L. Mowery, Chris Leng, Stéphane M. Meystre, Wendy W. Chapman
2014	—	`conf`	Can Physicians Recognize Their Own Patients in De-identified Notes? MIE Stéphane M. Meystre, Shuying Shen, Deborah Hofmann, Adi V. Gundlapalli
2014	Misc	`conf`	Congestive Heart Failure Information Extraction Framework (CHIEF) Evaluation. AMIA Stéphane M. Meystre, Youngjun Kim, Andrew Redd, Jennifer H. Garvin
2014	Misc	`conf`	Effect of Pre-annotation on Annotation Time. AMIA Andrew Redd, Youngjun Kim, Stéphane M. Meystre, Julia Heavirland, Allison Weaver, Jenifer Williams, Jennifer H. Garvin
2014	J	`jnl`	Evaluating the effects of machine pre-annotation and an interactive annotation interface on manual de-identification of clinical text. J. Biomed. Informatics Brett R. South, Danielle L. Mowery, Ying Suo, Jianwei Leng, Óscar Ferrández, Stéphane M. Meystre, Wendy W. Chapman
2014	—	`conf`	Generating Patient Problem Lists from the ShARe Corpus using SNOMED CT/SNOMED CT CORE Problem List. BioNLP@ACL Danielle L. Mowery, Mindy K. Ross, Sumithra Velupillai, Stéphane M. Meystre, Janyce Wiebe, Wendy W. Chapman
2014	Misc	`conf`	Medication Prescription Status Classification in Clinical Narrative Documents. AMIA Youngjun Kim, Jennifer H. Garvin, Julia Heavirland, Jenifer Williams, Stéphane M. Meystre
2014	J	`jnl`	Text de-identification for privacy protection: A study of its impact on clinical text information content. J. Biomed. Informatics Stéphane M. Meystre, Óscar Ferrández, F. Jeffrey Friedlin, Brett R. South, Shuying Shen, Matthew H. Samore
2013	—	`conf`	Applying Ontological Realism to Medically Unexplained Syndromes. MedInfo Kristina Doing-Harris, Stéphane M. Meystre, Matthew H. Samore, Werner Ceusters
2013	Misc	`conf`	Automated Concept and Relationship Extraction for Ontology Development. AMIA Kristina Doing-Harris, Narong Boonsirisumpun, Kristin Potter, Yarden Livnat, Stéphane M. Meystre
2013	—	`conf`	Automatic Clinical Text De-Identification: Is It Worth It, and Could It Work for Me? MedInfo Stéphane M. Meystre, Hercules Dalianis, John S. Aberdeen, Bradley A. Malin
2013	J	`jnl`	BoB, a best-of-breed automated text de-identification system for VHA clinical documents. J. Am. Medical Informatics Assoc. Óscar Ferrández, Brett R. South, Shuying Shen, F. Jeffrey Friedlin, Matthew H. Samore, Stéphane M. Meystre
2013	—	`conf`	Improving Heart Failure Information Extraction by Domain Adaptation. MedInfo Youngjun Kim, Jennifer H. Garvin, Julia Heavirland, Stéphane M. Meystre
2013	Misc	`conf`	Pediatric Acute Appendicitis Treatment Devices Automatic Extraction from Diagnostic Imaging Reports in a Multi-Institutional Clinical Repository. AMIA Stéphane M. Meystre, Ramkiran Gouripeddi, Abhisek Trivedi, Shawn Rangel
2013	Misc	`conf`	Semi-automated Ontology Development System for Medically Unexplained Syndromes in the U.S. Veterans Population. AMIA Stéphane M. Meystre, Kristina Doing-Harris, Narong Boonsirisumpun, Yarden Livnat, Kristin Potter
2012	—	`conf`	A Hybrid Stepwise Approach for De-identifying Person Names in Clinical Documents. BioNLP@HLT-NAACL Óscar Ferrández, Brett R. South, Shuying Shen, Stéphane M. Meystre
2012	Misc	`conf`	A Survey of VHA Privacy Officers for the External Use of Automatically De-Identified Clinical Documents. AMIA Neil Nokes, Stéphane M. Meystre, Brett R. South, Jeffrey Scehnet, Shuying Shen, Óscar Ferrández, F. Jeffrey Friedlin, Matthew Maw, Matthew H. Samore
2012	J	`jnl`	Common data model for natural language processing based on two existing standard information models: CDA+GrAF. J. Biomed. Informatics Stéphane M. Meystre, Sanghoon Lee, Chai Young Jung, Raphaël D. Chevrier
2012	Misc	`conf`	Determining Section Types to Capture Key Clinical Data for Automation of Quality Measurement for Inpatients with Chronic Heart Failure. AMIA Jennifer H. Garvin, Julia Heavirland, Allison Weaver, Youngjun Kim, Bruce E. Bray, Daniel Bolton, Carol Hope, Andrew Redd, Sarah A. Maulden, Stéphane M. Meystre
2012	Misc	`conf`	Domain and Application Ontologies for Medically Unexplained Syndromes. AMIA Kristina Doing-Harris, Stéphane M. Meystre, Matthew H. Samore, Werner Ceusters
2012	Misc	`conf`	Generalizability and Comparison of Automatic Clinical Text De-Identification Methods and Resources. AMIA Óscar Ferrández, Brett R. South, Shuying Shen, F. Jeffrey Friedlin, Matthew H. Samore, Stéphane M. Meystre
2012	Misc	`conf`	On the Road Towards Developing a Publicly Available Corpus of De-identified Clinical Texts. AMIA Brett R. South, Danielle L. Mowery, Óscar Ferrández, Shuying Shen, Ying Suo, Mingyuan Zhang, Annie Chen, Liqin Wang, Stéphane M. Meystre, Wendy Webber Chapman
2011	—	`conf`	Improving Classification of Medical Assertions in Clinical Notes. ACL (2) Youngjun Kim, Ellen Riloff, Stéphane M. Meystre
2010	—	`conf`	Automatically Detecting Medications and the Reason for their Prescription in Clinical Narrative Text Documents. MedInfo Stéphane M. Meystre, Julien Thibault, Shuying Shen, John F. Hurdle, Brett R. South
2010	J	`jnl`	Textractor: a hybrid system for medications and reason for their prescription extraction from clinical text documents. J. Am. Medical Informatics Assoc. Stéphane M. Meystre, Julien Thibault, Shuying Shen, John F. Hurdle, Brett R. South
2009	Misc	`conf`	A Clinical Use Case to Evaluate the i2b2 Hive: Predicting Asthma Exacerbations. AMIA Stéphane M. Meystre, Vikrant G. Deshmukh, Joyce A. Mitchell
2009	B	`conf`	Detecting Intuitive Mentions of Diseases in Narrative Clinical Text. AIME Stéphane M. Meystre
2009	Misc	`conf`	Inductive Creation of an Annotation Schema and a Reference Standard for De-identification of VA Electronic Clinical Notes. AMIA Jeanmarie Mayer, Shuying Shen, Brett R. South, Stéphane M. Meystre, F. Jeff Friedlin, William R. Ray, Matthew H. Samore
2008	J	`jnl`	Randomized controlled trial of an automated problem list with improved sensitivity. Int. J. Medical Informatics Stéphane M. Meystre, Peter J. Haug
2006	Misc	`conf`	Improving the Sensitivity of the Problem List in an Intensive Care Unit by Using Natural Language Processing. AMIA Stéphane M. Meystre, Peter J. Haug
2006	J	`jnl`	Natural language processing to extract medical problems from electronic clinical documents: Performance evaluation. J. Biomed. Informatics Stéphane M. Meystre, Peter J. Haug
2005	J	`jnl`	Automation of a problem list using natural language processing. BMC Medical Informatics Decis. Mak. Stéphane M. Meystre, Peter J. Haug
2005	Misc	`conf`	Comparing Natural Language Processing Tools to Extract Medical Problems from Narrative Text. AMIA Stéphane M. Meystre, Peter J. Haug
2005	—	`conf`	Evaluation of Medical Problem Extraction from Electronic Clinical Documents Using MetaMap Transfer (MMTx). MIE Stéphane M. Meystre, Peter J. Haug
2003	Misc	`conf`	Medical Problem and Document Model for Natural Language Understanding. AMIA Stéphane M. Meystre, Peter J. Haug