Stéphane M. Meystre

Orcid: 0000-0002-7632-9625

According to our database1, Stéphane M. Meystre authored at least 81 papers between 2003 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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On csauthors.net:

Bibliography

2024
Large language models for biomedicine: foundations, opportunities, challenges, and best practices.
J. Am. Medical Informatics Assoc., 2024

2023
AI-Based Gut-Brain Axis Digital Twins.
Proceedings of the Caring is Sharing - Exploiting the Value in Data for Health and Innovation - Proceedings of MIE 2023, Gothenburg, Sweden, 22, 2023

High Accuracy Open-Source Clinical Data De-Identification: The CliniDeID Solution.
Proceedings of the MEDINFO 2023 - The Future Is Accessible, 2023

2022
Synergies between centralized and federated approaches to data quality: a report from the national COVID cohort collaborative.
J. Am. Medical Informatics Assoc., 2022

Post-Hoc Ensemble Generation for Clinical NLP: A Study of Concept Recognition, Normalization, and Context Attributes.
Proceedings of the AMIA 2022, 2022

2021
Natural language processing enabling COVID-19 predictive analytics to support data-driven patient advising and pooled testing.
J. Am. Medical Informatics Assoc., 2021

Comparing Multiple Models for Section Header Classification with Feature Evaluation.
Proceedings of the MEDINFO 2021: One World, One Health - Global Partnership for Digital Innovation, 2021

A Natural Language Processing Tool Offering Data Extraction for COVID-19 Related Information (DECOVRI).
Proceedings of the MEDINFO 2021: One World, One Health - Global Partnership for Digital Innovation, 2021

Natural Language Processing and COVID-19 Predictive Analytics to Enable and Optimize SARS-CoV-2 Pooled Testing.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

Clinical Concept Extraction Using Contextual String Embeddings.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

Evaluating the Downstream Performance Impact of Various Common Off-the-Shelf Clinical NLP Components.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

Overview and Descriptive Analysis of a New Ontology for Normalizing Section Types in Unstructured Clinical Notes.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

Colonizing Microbiome as a Determinant of COVID-19 Outcome: A Pilot Study.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

2020
An artificial intelligence approach to COVID-19 infection risk assessment in virtual visits: A case report.
J. Am. Medical Informatics Assoc., 2020

Ensemble method-based extraction of medication and related information from clinical texts.
J. Am. Medical Informatics Assoc., 2020

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., 2020

De-Identification of Clinical Text: Stakeholders' Perspectives and Acceptance of Automatic De-Identification.
Proceedings of the AMIA 2020, 2020

Improving De-identification of Clinical Text with Contextualized Embeddings.
Proceedings of the AMIA 2020, 2020

Comparative Study of Various Approaches for Ensemble-based De-identification of Electronic Health Record Narratives.
Proceedings of the AMIA 2020, 2020

A Meta-Analysis of Medical Concept Normalization Using Hierarchical Ontological Relations and Semantic Types.
Proceedings of the AMIA 2020, 2020

2019
Automatic trial eligibility surveillance based on unstructured clinical data.
Int. J. Medical Informatics, 2019

Impact of De-Identification on Clinical Text Classification Using Traditional and Deep Learning Classifiers.
Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019

A Study of Medical Problem Extraction for Better Disease Management.
Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019

Patient-Pivoted Automated Trial Eligibility Pipeline: The First of Three Phases in a Modular Architecture.
Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019

Text De-Identification Impact on Subsequent Machine Learning Applications.
Proceedings of the AMIA 2019, 2019

Cancer Type Classification by Jointly Using Words and Concepts from Electronic Health Record Text Notes.
Proceedings of the AMIA 2019, 2019

2018
Clinical Text Automatic De-Identification to Support Large Scale Data Reuse and Sharing: Pilot Results.
Proceedings of the AMIA 2018, 2018

Automatic Text De-Identification: How and When is it Acceptable?
Proceedings of the AMIA 2018, 2018

Ensemble-based Methods to Improve De-identification of Electronic Health Record Narratives.
Proceedings of the AMIA 2018, 2018

2017
Extraction of left ventricular ejection fraction information from various types of clinical reports.
J. Biomed. Informatics, 2017

Congestive heart failure information extraction framework for automated treatment performance measures assessment.
J. Am. Medical Informatics Assoc., 2017

Heart Failure Data for Patient Treatment Goals at the Point of Care: Automated Data Extraction and Consistent Reference Standard Importance.
Proceedings of the Summit on Clinical Research Informatics, 2017

Identifying Falls Risk Screenings Not Documented with Administrative Codes Using Natural Language Processing.
Proceedings of the AMIA 2017, 2017

Exploiting Unlabeled Texts with Clustering-based Instance Selection for Medical Relation Classification.
Proceedings of the AMIA 2017, 2017

Semi-automated Ontology Development and Management System Applied to Medically Unexplained Syndromes in the U.S. Veterans Population.
Proceedings of the Artificial Intelligence in Medicine, 2017

2016
UtahBMI at SemEval-2016 Task 12: Extracting Temporal Information from Clinical Text.
Proceedings of the 10th International Workshop on Semantic Evaluation, 2016

Automated Dynamic Problem and Allergy Lists for Efficient Electronic Health Record Management.
Proceedings of the AMIA 2016, 2016

Natural Language Processing Working Group Pre-Symposium: Graduate Student Consortium and 'Hackathon'.
Proceedings of the AMIA 2016, 2016

Temporally Classifying Clinical Events Relative to Document Creation Time.
Proceedings of the AMIA 2016, 2016

2015
Adapting existing natural language processing resources for cardiovascular risk factors identification in clinical notes.
J. Biomed. Informatics, 2015

Automated concept and relationship extraction for the semi-automated ontology management (SEAM) system.
J. Biomed. Semant., 2015

Heart Failure Medications Detection and Prescription Status Classification in Clinical Narrative Documents.
Proceedings of the MEDINFO 2015: eHealth-enabled Health, 2015

Classification of Contextual Use of Left Ventricular Ejection Fraction Assessments.
Proceedings of the MEDINFO 2015: eHealth-enabled Health, 2015

State of the Art of Clinical Narrative Report De-Identification and Its Future.
Proceedings of the AMIA 2015, 2015

Improving Detection of Reasons Not to Take a Medication by Leveraging Medication Prescription Status.
Proceedings of the AMIA 2015, 2015

De-identification of Unstructured Clinical Data for Patient Privacy Protection.
Proceedings of the Medical Data Privacy Handbook, 2015

2014
Evaluating the effects of machine pre-annotation and an interactive annotation interface on manual de-identification of clinical text.
J. Biomed. Informatics, 2014

Text de-identification for privacy protection: A study of its impact on clinical text information content.
J. Biomed. Informatics, 2014

Can Physicians Recognize Their Own Patients in De-identified Notes?
Proceedings of the e-Health - For Continuity of Care - Proceedings of MIE2014, the 25th European Medical Informatics Conference, Istanbul, Turkey, August 31, 2014

Generating Patient Problem Lists from the ShARe Corpus using SNOMED CT/SNOMED CT CORE Problem List.
Proceedings of BioNLP, Baltimore, Maryland, USA, 2014

A System Usability Study Assessing a Machine-Assisted Interactive Interface to Support Annotation of Protected Health Information in Clinical Texts.
Proceedings of the AMIA 2014, 2014

Effect of Pre-annotation on Annotation Time.
Proceedings of the AMIA 2014, 2014

Congestive Heart Failure Information Extraction Framework (CHIEF) Evaluation.
Proceedings of the AMIA 2014, 2014

Medication Prescription Status Classification in Clinical Narrative Documents.
Proceedings of the AMIA 2014, 2014

2013
BoB, a best-of-breed automated text de-identification system for VHA clinical documents.
J. Am. Medical Informatics Assoc., 2013

Automatic Clinical Text De-Identification: Is It Worth It, and Could It Work for Me?
Proceedings of the MEDINFO 2013, 2013

Improving Heart Failure Information Extraction by Domain Adaptation.
Proceedings of the MEDINFO 2013, 2013

Applying Ontological Realism to Medically Unexplained Syndromes.
Proceedings of the MEDINFO 2013, 2013

Pediatric Acute Appendicitis Treatment Devices Automatic Extraction from Diagnostic Imaging Reports in a Multi-Institutional Clinical Repository.
Proceedings of the AMIA 2013, 2013

Semi-automated Ontology Development System for Medically Unexplained Syndromes in the U.S. Veterans Population.
Proceedings of the AMIA 2013, 2013

Automated Concept and Relationship Extraction for Ontology Development.
Proceedings of the AMIA 2013, 2013

2012
Common data model for natural language processing based on two existing standard information models: CDA+GrAF.
J. Biomed. Informatics, 2012

A Hybrid Stepwise Approach for De-identifying Person Names in Clinical Documents.
Proceedings of the 2012 Workshop on Biomedical Natural Language Processing, 2012

On the Road Towards Developing a Publicly Available Corpus of De-identified Clinical Texts.
Proceedings of the AMIA 2012, 2012

A Survey of VHA Privacy Officers for the External Use of Automatically De-Identified Clinical Documents.
Proceedings of the AMIA 2012, 2012

Determining Section Types to Capture Key Clinical Data for Automation of Quality Measurement for Inpatients with Chronic Heart Failure.
Proceedings of the AMIA 2012, 2012

Generalizability and Comparison of Automatic Clinical Text De-Identification Methods and Resources.
Proceedings of the AMIA 2012, 2012

Domain and Application Ontologies for Medically Unexplained Syndromes.
Proceedings of the AMIA 2012, 2012

2011
Improving Classification of Medical Assertions in Clinical Notes.
Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference, 19-24 June, 2011, Portland, Oregon, USA, 2011

2010
Textractor: a hybrid system for medications and reason for their prescription extraction from clinical text documents.
J. Am. Medical Informatics Assoc., 2010

Automatically Detecting Medications and the Reason for their Prescription in Clinical Narrative Text Documents.
Proceedings of the MEDINFO 2010, 2010

2009
A Clinical Use Case to Evaluate the i2b2 Hive: Predicting Asthma Exacerbations.
Proceedings of the AMIA 2009, 2009

Inductive Creation of an Annotation Schema and a Reference Standard for De-identification of VA Electronic Clinical Notes.
Proceedings of the AMIA 2009, 2009

Detecting Intuitive Mentions of Diseases in Narrative Clinical Text.
Proceedings of the Artificial Intelligence in Medicine, 2009

2008
Randomized controlled trial of an automated problem list with improved sensitivity.
Int. J. Medical Informatics, 2008

2006
Natural language processing to extract medical problems from electronic clinical documents: Performance evaluation.
J. Biomed. Informatics, 2006

Improving the Sensitivity of the Problem List in an Intensive Care Unit by Using Natural Language Processing.
Proceedings of the AMIA 2006, 2006

2005
Automation of a problem list using natural language processing.
BMC Medical Informatics Decis. Mak., 2005

Evaluation of Medical Problem Extraction from Electronic Clinical Documents Using MetaMap Transfer (MMTx).
Proceedings of the Connecting Medical Informatics and Bio-Informatics - Proceedings of MIE 2005, 2005

Comparing Natural Language Processing Tools to Extract Medical Problems from Narrative Text.
Proceedings of the AMIA 2005, 2005

2003
Medical Problem and Document Model for Natural Language Understanding.
Proceedings of the AMIA 2003, 2003


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