60 citations · 68 across the 4 of their papers we have counts for
4 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…
Stratified cross-validation for unbiased and privacy-preserving federated learning
R. Bey, R. Goussault, M. Benchoufi +1
Large-scale collections of electronic records constitute both an opportunity for the development of more accurate prediction models and a threat for privacy. To limit privacy expos…