Antoine Neuraz

According to our database, Antoine Neuraz authored at least 28 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Facilitating phenotyping from clinical texts: the medkit library.

Antoine Neuraz, Ghislain Vaillant, Camila Arias, Olivier Birot, Kim Tâm Huynh, Thibaut Fabacher, Alice Rogier, Nicolas Garcelon, Ivan Lerner, Bastien Rance, Adrien Coulet

CoRR, 2024

Deep Reinforcement Learning for personalized diagnostic decision pathways using Electronic Health Records: A comparative study on anemia and Systemic Lupus Erythematosus.

Lillian Muyama, Antoine Neuraz, Adrien Coulet

Artif. Intell. Medicine, 2024

Comparing NER Approaches on French Clinical Text, with Easy-to-Reuse Pipelines.

Thibault Hubert, Ghislain Vaillant, Olivier Birot, Camila Arias, Antoine Neuraz, Adrien Coulet

Proceedings of the Digital Health and Informatics Innovations for Sustainable Health Care Systems, 2024

2023

Extracting Diagnosis Pathways from Electronic Health Records Using Deep Reinforcement Learning.

Lillian Muyama, Antoine Neuraz, Adrien Coulet

CoRR, 2023

The Smart Data Extractor, a Clinician Friendly Solution to Accelerate and Improve the Data Collection During Clinical Trials.

Sophie Quennelle, Maxime Douillet, Lisa Friedlander, Olivia Boyer, Antoine Neuraz, Anita Burgun, Nicolas Garcelon

Proceedings of the Caring is Sharing - Exploiting the Value in Data for Health and Innovation - Proceedings of MIE 2023, Gothenburg, Sweden, 22, 2023

TAXN: Translate Align Extract Normalize, a Multilingual Extraction Tool for Clinical Texts.

Antoine Neuraz, Ivan Lerner, Olivier Birot, Camila Arias, Larry Han, Clara-Lea Bonzel, Tianxi Cai, Kim Tâm Huynh, Adrien Coulet

Proceedings of the MEDINFO 2023 - The Future Is Accessible, 2023

2022

International electronic health record-derived post-acute sequelae profiles of COVID-19 patients.

Harrison G. Zhang, Arianna Dagliati, Zahra Shakeri Hossein Abad, Xin Xiong, Clara-Lea Bonzel, Zongqi Xia, Bryce W. Q. Tan, Paul Avillach, Gabriel A. Brat, Chuan Hong, Michele Morris, Shyam Visweswaran, Lav P. Patel, Alba Gutiérrez-Sacristán, David A. Hanauer, John H. Holmes, Malarkodi Jebathilagam Samayamuthu, Florence T. Bourgeois, Sehi L'Yi, Sarah E. Maidlow, Bertrand Moal, Shawn N. Murphy, Zachary H. Strasser, Antoine Neuraz, Kee Yuan Ngiam, Ne-Hooi Will Loh, Gilbert S. Omenn, Andrea Prunotto, Lauren A. Dalvin, Jeffrey G. Klann, Petra Schubert, Fernando J. Sanz Vidorreta, Vincent Benoit, Guillaume Verdy, Ramakanth Kavuluru, Hossein Estiri, Yuan Luo, Alberto Malovini, Valentina Tibollo, Riccardo Bellazzi, Kelly Cho, Yuk-Lam Ho, Amelia L. M. Tan, Byorn W. L. Tan, Nils Gehlenborg, Sara Lozano-Zahonero, Vianney Jouhet, Luca Chiovato, Bruce J. Aronow, Emma M. S. Toh, Wei Gen Scott Wong, Sara Pizzimenti, Kavishwar B. Wagholikar, Mauro Bucalo, Tianxi Cai, Andrew M. South, Isaac S. Kohane, Griffin M. Weber

npj Digit. Medicine, 2022

SurvMaximin: Robust federated approach to transporting survival risk prediction models.

Xuan Wang, Harrison G. Zhang, Xin Xiong, Chuan Hong, Griffin M. Weber, Gabriel A. Brat, Clara-Lea Bonzel, Yuan Luo, Rui Duan, Nathan P. Palmer, Meghan R. Hutch, Alba Gutiérrez-Sacristán, Riccardo Bellazzi, Luca Chiovato, Kelly Cho, Arianna Dagliati, Hossein Estiri, Noelia García-Barrio, Romain Griffier, David A. Hanauer, Yuk-Lam Ho, John H. Holmes, Mark S. Keller, Jeffrey G. Klann, Sehi L'Yi, Sara Lozano-Zahonero, Sarah E. Maidlow, Adeline Makoudjou, Alberto Malovini, Bertrand Moal, Jason H. Moore, Michele Morris, Danielle L. Mowery, Shawn N. Murphy, Antoine Neuraz, Kee Yuan Ngiam, Gilbert S. Omenn, Lav P. Patel, Miguel Pedrera-Jiménez, Andrea Prunotto, Malarkodi J. Samayamuthu, Fernando J. Sanz Vidorreta, Emily Schriver, Petra Schubert, Pablo Serrano-Balazote, Andrew M. South, Amelia L. M. Tan, Byorn W. L. Tan, Valentina Tibollo, Patric Tippmann, Shyam Visweswaran, Zongqi Xia, William Yuan, Daniela Zöller, Isaac S. Kohane, Paul Avillach, Zijian Guo, Tianxi Cai

J. Biomed. Informatics, 2022

Learning structures of the French clinical language: development and validation of word embedding models using 21 million clinical reports from electronic health records.

Basile Dura, Charline Jean, Xavier Tannier, Alice Calliger, Romain Bey, Antoine Neuraz, Rémi Flicoteaux

CoRR, 2022

Determining the Set of Items to Include in Breast Operative Reports, Using Clustering Algorithms on Retrospective Data Extracted from Clinical DataWarehouse.

Adrien Boukobza, Maxime Wack, Antoine Neuraz, Daniela Geromin, Cécile Badoual, Anne-Sophie Bats, Anita Burgun, Meriem Koual, Rosy Tsopra

Proceedings of the Advances in Informatics, Management and Technology in Healthcare, 2022

2021

Lessons Learned from the Usability Evaluation of a Simulated Patient Dialogue System.

Leonardo Campillos Llanos, Catherine Thomas, Éric Bilinski, Antoine Neuraz, Sophie Rosset, Pierre Zweigenbaum

J. Medical Syst., 2021

Can reproducibility be improved in clinical natural language processing? A study of 7 clinical NLP suites.

William Digan, Aurélie Névéol, Antoine Neuraz, Maxime Wack, David Baudoin, Anita Burgun, Bastien Rance

J. Am. Medical Informatics Assoc., 2021

Using Deep Learning to Improve Phenotyping from Clinical Reports.

Marc Vincent, Maxime Douillet, Ivan Lerner, Antoine Neuraz, Anita Burgun, Nicolas Garcelon

Proceedings of the MEDINFO 2021: One World, One Health - Global Partnership for Digital Innovation, 2021

2020

Compréhension du langage naturel pour le dossier patient informatisé : accès à l'information et extraction d'information. (Natural language understanding for the electronic health records : access to information and information extraction).

Antoine Neuraz

PhD thesis, 2020

Learning the grammar of prescription: recurrent neural network grammars for medication information extraction in clinical texts.

Ivan Lerner, Jordan Jouffroy, Anita Burgun, Antoine Neuraz

CoRR, 2020

The Impact of Specialized Corpora for Word Embeddings in Natural Langage Understanding.

Antoine Neuraz, Bastien Rance, Nicolas Garcelon, Leonardo Campillos Llanos, Anita Burgun, Sophie Rosset

Proceedings of the Digital Personalized Health and Medicine - Proceedings of MIE 2020, Medical Informatics Europe, Geneva, Switzerland, April 28, 2020

What is best for spoken language understanding: small but task-dependant embeddings or huge but out-of-domain embeddings?

Sahar Ghannay, Antoine Neuraz, Sophie Rosset

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Optimization of a Sequential Decision Making Problem for a Rare Disease Diagnostic Application.

Rémi Besson, Erwan Le Pennec, Emmanuel Spaggiari, Antoine Neuraz, Julien Stirnemann, Stéphanie Allassonnière

Proceedings of the 12th International Conference on Agents and Artificial Intelligence, 2020

2019

Phenotypic similarity for rare disease: Ciliopathy diagnoses and subtyping.

Xiaoyi Chen, Nicolas Garcelon, Antoine Neuraz, Katy Billot, Marc Lelarge, Thomas Bonald, Hugo Garcia, Yoann Martin, Vincent Benoit, Marc Vincent, Hassan Faour, Maxime Douillet, Stanislas Lyonnet, Sophie Saunier, Anita Burgun

J. Biomed. Informatics, 2019

What can millions of laboratory test results tell us about the temporal aspect of data quality? Study of data spanning 17 years in a clinical data warehouse.

Vincent Looten, Liliane Kong Win Chang, Antoine Neuraz, Marie-Anne Landau-Loriot, Benoit Vedie, Jean-Louis Paul, Laëtitia Mauge, Nadia Rivet, Angela Bonifati, Gilles Chatellier, Anita Burgun, Bastien Rance

Comput. Methods Programs Biomed., 2019

Do You Need Embeddings Trained on a Massive Specialized Corpus for Your Clinical Natural Language Processing Task?

Antoine Neuraz, Vincent Looten, Bastien Rance, Nicolas Daniel, Nicolas Garcelon, Leonardo Campillos Llanos, Anita Burgun, Sophie Rosset

Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019

Evaluating the Impact of Text Duplications on a Corpus of More than 600, 000 Clinical Narratives in a French Hospital.

William Digan, Maxime Wack, Vincent Looten, Antoine Neuraz, Anita Burgun, Bastien Rance

Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019

2018

A clinician friendly data warehouse oriented toward narrative reports: Dr. Warehouse.

Nicolas Garcelon, Antoine Neuraz, Rémi Salomon, Hassan Faour, Vincent Benoit, Arthur Delapalme, Arnold Munnich, Anita Burgun, Bastien Rance

J. Biomed. Informatics, 2018

A Model-Based Reinforcement Learning Approach for a Rare Disease Diagnostic Task.

Rémi Besson, Erwan Le Pennec, Stéphanie Allassonnière, Julien Stirnemann, Emmanuel Spaggiari, Antoine Neuraz

CoRR, 2018

Natural language understanding for task oriented dialog in the biomedical domain in a low resources context.

Antoine Neuraz, Leonardo Campillos Llanos, Anita Burgun, Sophie Rosset

CoRR, 2018

2017

Finding patients using similarity measures in a rare diseases-oriented clinical data warehouse: Dr. Warehouse and the needle in the needle stack.

Nicolas Garcelon, Antoine Neuraz, Vincent Benoit, Rémi Salomon, Sven Kracker, Felipe Suarez, Nadia Bahi-Buisson, Smail Hadj-Rabia, Alain Fischer, Arnold Munnich, Anita Burgun

J. Biomed. Informatics, 2017

Improving a full-text search engine: the importance of negation detection and family history context to identify cases in a biomedical data warehouse.

Nicolas Garcelon, Antoine Neuraz, Vincent Benoit, Rémi Salomon, Anita Burgun

J. Am. Medical Informatics Assoc., 2017

2013

Phenome-Wide Association Studies on a Quantitative Trait: Application to TPMT Enzyme Activity and Thiopurine Therapy in Pharmacogenomics.

Antoine Neuraz, Laurent Chouchana, Georgia Malamut, Christine Le Beller, Denis Roche, Philippe Beaune, Patrice Degoulet, Anita Burgun, Marie-Anne Loriot, Paul Avillach

PLoS Comput. Biol., 2013