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Antoine Neuraz
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2020 – today
- 2024
- [j11]Lillian Muyama, Antoine Neuraz, Adrien Coulet:
Deep Reinforcement Learning for personalized diagnostic decision pathways using Electronic Health Records: A comparative study on anemia and Systemic Lupus Erythematosus. Artif. Intell. Medicine 157: 102994 (2024) - [c11]Thibault Hubert, Ghislain Vaillant, Olivier Birot, Camila Arias, Antoine Neuraz, Adrien Coulet:
Comparing NER Approaches on French Clinical Text, with Easy-to-Reuse Pipelines. MIE 2024: 272-276 - [i8]Lillian Muyama, Antoine Neuraz, Adrien Coulet:
Deep Reinforcement Learning for Personalized Diagnostic Decision Pathways Using Electronic Health Records: A Comparative Study on Anemia and Systemic Lupus Erythematosus. CoRR abs/2404.05913 (2024) - [i7]Antoine Neuraz, Ghislain Vaillant, Camila Arias, Olivier Birot, Kim Tâm Huynh, Thibaut Fabacher, Alice Rogier, Nicolas Garcelon, Ivan Lerner, Bastien Rance, Adrien Coulet:
Facilitating phenotyping from clinical texts: the medkit library. CoRR abs/2409.00164 (2024) - 2023
- [c10]Antoine Neuraz, Ivan Lerner, Olivier Birot, Camila Arias, Larry Han, Clara-Lea Bonzel, Tianxi Cai, Kim Tâm Huynh, Adrien Coulet:
TAXN: Translate Align Extract Normalize, a Multilingual Extraction Tool for Clinical Texts. MedInfo 2023: 649-653 - [c9]Sophie Quennelle, Maxime Douillet, Lisa Friedlander, Olivia Boyer, Antoine Neuraz, Anita Burgun, Nicolas Garcelon:
The Smart Data Extractor, a Clinician Friendly Solution to Accelerate and Improve the Data Collection During Clinical Trials. MIE 2023: 247-251 - [i6]Lillian Muyama, Antoine Neuraz, Adrien Coulet:
Extracting Diagnosis Pathways from Electronic Health Records Using Deep Reinforcement Learning. CoRR abs/2305.06295 (2023) - [i5]Sophie Quennelle, Maxime Douillet, Lisa Friedlander, Olivia Boyer, Anita Burgun, Antoine Neuraz, Nicolas Garcelon:
The Smart Data Extractor, a Clinician Friendly Solution to Accelerate and Improve the Data Collection During Clinical Trials. CoRR abs/2308.16537 (2023) - 2022
- [j10]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:
SurvMaximin: Robust federated approach to transporting survival risk prediction models. J. Biomed. Informatics 134: 104176 (2022) - [j9]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:
International electronic health record-derived post-acute sequelae profiles of COVID-19 patients. npj Digit. Medicine 5 (2022) - [c8]Adrien Boukobza, Maxime Wack, Antoine Neuraz, Daniela Geromin, Cécile Badoual, Anne-Sophie Bats, Anita Burgun, Meriem Koual, Rosy Tsopra:
Determining the Set of Items to Include in Breast Operative Reports, Using Clustering Algorithms on Retrospective Data Extracted from Clinical DataWarehouse. ICIMTH 2022: 45-48 - [i4]Basile Dura, Charline Jean, Xavier Tannier, Alice Calliger, Romain Bey, Antoine Neuraz, Rémi Flicoteaux:
Learning structures of the French clinical language: development and validation of word embedding models using 21 million clinical reports from electronic health records. CoRR abs/2207.12940 (2022) - 2021
- [j8]William Digan, Aurélie Névéol, Antoine Neuraz, Maxime Wack, David Baudoin, Anita Burgun, Bastien Rance:
Can reproducibility be improved in clinical natural language processing? A study of 7 clinical NLP suites. J. Am. Medical Informatics Assoc. 28(3): 504-515 (2021) - [j7]Leonardo Campillos Llanos, Catherine Thomas, Éric Bilinski, Antoine Neuraz, Sophie Rosset, Pierre Zweigenbaum:
Lessons Learned from the Usability Evaluation of a Simulated Patient Dialogue System. J. Medical Syst. 45(7): 69 (2021) - [c7]William Digan, Aurélie Névéol, Antoine Neuraz, Maxime Wack, David Baudoin, Anita Burgun, Bastien Rance:
Can reproducibility be improved in clinical natural language processing? A study of 7 clinical NLP suites. AMIA 2021 - [c6]Marc Vincent, Maxime Douillet, Ivan Lerner, Antoine Neuraz, Anita Burgun, Nicolas Garcelon:
Using Deep Learning to Improve Phenotyping from Clinical Reports. MedInfo 2021: 282-286 - 2020
- [b1]Antoine Neuraz:
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). Paris Cité University, France, 2020 - [c5]Rémi Besson, Erwan Le Pennec, Emmanuel Spaggiari, Antoine Neuraz, Julien Stirnemann, Stéphanie Allassonnière:
Optimization of a Sequential Decision Making Problem for a Rare Disease Diagnostic Application. ICAART (2) 2020: 475-482 - [c4]Sahar Ghannay, Antoine Neuraz, Sophie Rosset:
What is best for spoken language understanding: small but task-dependant embeddings or huge but out-of-domain embeddings? ICASSP 2020: 8114-8118 - [c3]Antoine Neuraz, Bastien Rance, Nicolas Garcelon, Leonardo Campillos Llanos, Anita Burgun, Sophie Rosset:
The Impact of Specialized Corpora for Word Embeddings in Natural Langage Understanding. MIE 2020: 432-436 - [i3]Ivan Lerner, Jordan Jouffroy, Anita Burgun, Antoine Neuraz:
Learning the grammar of prescription: recurrent neural network grammars for medication information extraction in clinical texts. CoRR abs/2004.11622 (2020)
2010 – 2019
- 2019
- [j6]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:
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. Comput. Methods Programs Biomed. 181 (2019) - [j5]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:
Phenotypic similarity for rare disease: Ciliopathy diagnoses and subtyping. J. Biomed. Informatics 100 (2019) - [c2]William Digan, Maxime Wack, Vincent Looten, Antoine Neuraz, Anita Burgun, Bastien Rance:
Evaluating the Impact of Text Duplications on a Corpus of More than 600, 000 Clinical Narratives in a French Hospital. MedInfo 2019: 103-107 - [c1]Antoine Neuraz, Vincent Looten, Bastien Rance, Nicolas Daniel, Nicolas Garcelon, Leonardo Campillos Llanos, Anita Burgun, Sophie Rosset:
Do You Need Embeddings Trained on a Massive Specialized Corpus for Your Clinical Natural Language Processing Task? MedInfo 2019: 1558-1559 - 2018
- [j4]Nicolas Garcelon, Antoine Neuraz, Rémi Salomon, Hassan Faour, Vincent Benoit, Arthur Delapalme, Arnold Munnich, Anita Burgun, Bastien Rance:
A clinician friendly data warehouse oriented toward narrative reports: Dr. Warehouse. J. Biomed. Informatics 80: 52-63 (2018) - [i2]Antoine Neuraz, Leonardo Campillos Llanos, Anita Burgun, Sophie Rosset:
Natural language understanding for task oriented dialog in the biomedical domain in a low resources context. CoRR abs/1811.09417 (2018) - [i1]Rémi Besson, Erwan Le Pennec, Stéphanie Allassonnière, Julien Stirnemann, Emmanuel Spaggiari, Antoine Neuraz:
A Model-Based Reinforcement Learning Approach for a Rare Disease Diagnostic Task. CoRR abs/1811.10112 (2018) - 2017
- [j3]Nicolas Garcelon, Antoine Neuraz, Vincent Benoit, Rémi Salomon, Anita Burgun:
Improving a full-text search engine: the importance of negation detection and family history context to identify cases in a biomedical data warehouse. J. Am. Medical Informatics Assoc. 24(3): 607-613 (2017) - [j2]Nicolas Garcelon, Antoine Neuraz, Vincent Benoit, Rémi Salomon, Sven Kracker, Felipe Suarez, Nadia Bahi-Buisson, Smail Hadj-Rabia, Alain Fischer, Arnold Munnich, Anita Burgun:
Finding patients using similarity measures in a rare diseases-oriented clinical data warehouse: Dr. Warehouse and the needle in the needle stack. J. Biomed. Informatics 73: 51-61 (2017) - 2013
- [j1]Antoine Neuraz, Laurent Chouchana, Georgia Malamut, Christine Le Beller, Denis Roche, Philippe Beaune, Patrice Degoulet, Anita Burgun, Marie-Anne Loriot, Paul Avillach:
Phenome-Wide Association Studies on a Quantitative Trait: Application to TPMT Enzyme Activity and Thiopurine Therapy in Pharmacogenomics. PLoS Comput. Biol. 9(12) (2013)
Coauthor Index
aka: Anita Burgun
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