17 citations · 25 across the 4 of their papers we have counts for
5 papers
Detecting automatically the layout of clinical documents to enhance the performances of downstream natural language processing
Christel Gérardin, Perceval Wajsbürt, Basile Dura +4
Objective:Develop and validate an algorithm for analyzing the layout of PDF clinical documents to improve the performance of downstream natural language processing tasks. Materials…
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 +4
The objective of this study is to address the critical issue of de-identification of clinical reports in order to allow access to data for research purposes, while ensuring patient…
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 +4
Background Clinical studies using real-world data may benefit from exploiting clinical reports, a particularly rich albeit unstructured medium. To that end, natural language proces…
FASTER: Fusion AnalyticS for public Transport Event Response
Sebastien Blandin, Laura Wynter, Hasan Poonawala +2
Increasing urban concentration raises operational challenges that can benefit from integrated monitoring and decision support. Such complex systems need to leverage the full stack…
Adaptive Deep Kernel Learning
Prudencio Tossou, Basile Dura, Francois Laviolette +2
Deep kernel learning provides an elegant and principled framework for combining the structural properties of deep learning algorithms with the flexibility of kernel methods. By mea…