Romain Bey

According to our database, Romain Bey authored at least 8 papers between 2020 and 2023.

Collaborative distances:

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

2023

Detecting automatically the layout of clinical documents to enhance the performances of downstream natural language processing.

Christel Gérardin, Perceval Wajsbürt, Basile Dura, Alice Calliger, Alexandre Mouchet, Xavier Tannier, Romain Bey

CoRR, 2023

Development and validation of a natural language processing algorithm to pseudonymize documents in the context of a clinical data warehouse.

Xavier Tannier, Perceval Wajsbürt, Alice Calliger, Basile Dura, Alexandre Mouchet, Martin Hilka, Romain Bey

CoRR, 2023

Why Are Data Missing in Clinical Data Warehouses? A Simulation Study of How Data Are Processed (and Can Be Lost).

Sonia Priou, Guillaume Lamé, Marija Jankovic, Gilles Chatellier, Romain Bey, Christophe Tournigand, Christel Daniel, Emmanuelle Kempf

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

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

AP-HP Health Data Space (AHDS) to the Test of the Covid-19 Pandemic.

Christel Daniel, Nicolas Paris, Olivier Pierre, Nicolas Griffon, Stéphane Bréant, Nina Orlova, Patricia Serre, Damien Leprovost, Stéphane Denglos, Alexandre Mouchet, Julien Dubiel, Rafael Gozlan, Gilles Chatellier, Romain Bey, Marie Frank, Claire Hassen-Khodja, Marie-France Mamzer, Martin Hilka

Proceedings of the Challenges of Trustable AI and Added-Value on Health, 2022

2020

International electronic health record-derived COVID-19 clinical course profiles: the 4CE consortium.

Gabriel A. Brat, Griffin M. Weber, Nils Gehlenborg, Paul Avillach, Nathan P. Palmer, Luca Chiovato, James J. Cimino, Lemuel R. Waitman, Gilbert S. Omenn, Alberto Malovini, Jason H. Moore, Brett K. Beaulieu-Jones, Valentina Tibollo, Shawn N. Murphy, Sehi L'Yi, Mark S. Keller, Riccardo Bellazzi, David A. Hanauer, Arnaud Serret-Larmande, Alba Gutiérrez-Sacristán, John J. Holmes, Douglas S. Bell, Kenneth D. Mandl, Robert W. Follett, Jeffrey G. Klann, Douglas A. Murad, Luigia Scudeller, Mauro Bucalo, Katie G. Kirchoff, Jean B. Craig, Jihad S. Obeid, Vianney Jouhet, Romain Griffier, Sébastien Cossin, Bertrand Moal, Lav P. Patel, Antonio Bellasi, Hans-Ulrich Prokosch, Detlef Kraska, Piotr Sliz, Amelia L. M. Tan, Kee Yuan Ngiam, Alberto Zambelli, Danielle L. Mowery, Emily Schriver, Batsal Devkota, Robert L. Bradford, Mohamad Daniar, Christel Daniel, Vincent Benoit, Romain Bey, Nicolas Paris, Patricia Serre, Nina Orlova, Julien Dubiel, Martin Hilka, Anne-Sophie Jannot, Stéphane Bréant, Judith Leblanc, Nicolas Griffon, Anita Burgun, Mélodie Bernaux, Arnaud Sandrin, Elisa Salamanca, Sylvie Cormont, Thomas Ganslandt, Tobias Gradinger, Julien Champ, Martin Boeker, Patricia Martel, Loic Esteve, Alexandre Gramfort, Olivier Grisel, Damien Leprovost, Thomas Moreau, Gaël Varoquaux, Jill-Jênn Vie, Demian Wassermann, Arthur Mensch, Charlotte Caucheteux, Christian Haverkamp, Guillaume Lemaitre, Silvano Bosari, Ian D. Krantz, Andrew M. South, Tianxi Cai, Isaac S. Kohane

npj Digit. Medicine, 2020

Fold-stratified cross-validation for unbiased and privacy-preserving federated learning.

Romain Bey, Romain Goussault, François Grolleau, Mehdi Benchoufi, Raphaël Porcher

J. Am. Medical Informatics Assoc., 2020

Stratified cross-validation for unbiased and privacy-preserving federated learning.

Romain Bey, Romain Goussault, Mehdi Benchoufi, Raphaël Porcher

CoRR, 2020