Vianney Jouhet on Muck Rack

Vianney Jouhet

As seen in: Nature, PLOS ONE
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Articles

Computer Science > Artificial Intelligence

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By Meghyn Bienvenu, Katsumi Inoue, Vianney Jouhet
| arxiv.org
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
Open in Who Shared View Duplicates (445) Issue with article?

Representation learning to advance multi-institutional studies with electronic health record data from US and France

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By Doudou Zhou, Linshanshan Wang, Suqi Liu, Xin Xiong, Griffier Romain, Boris P Hejblum, Yun-Chung Liu, Chuan Hong, Clara-Lea Bonzel, Tianrun Cai, Kevin Pan, Yuk-Lam Ho, LAUREN COSTA, J. Michael Gaziano, Kenneth D. Mandl, Vianney Jouhet, Rodolphe Thiébaut, Zongqi Xia, Kelly Kasulis Cho, Katherine P Liao, Tianxi Cai, Ziming Gan, Vidul A. Panickan
| Nature Verified
Abstract The widespread adoption of electronic health records has created new opportunities for translational clinical research, yet this promise remains constrained by fragmented data across privacy-siloed institutions and substantial heterogeneity in local coding practices. While privacy-preserving collaborative learning allows institutions to work together without sharing patient-level data, it does not address inconsistencies in how clinical concepts are represented across sites.
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Synthetic medical data generation: state of the art and application to trauma mechanism classification

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By Ariel Guerra-Adames, Vianney Jouhet, Cédric Gil-Jardiné, Marta Avalos-Fernandez
| arxiv.org
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