6 citations · 6 across the 1 of their papers we have counts for
5 papers · 1 filter
A Benchmark Evaluation of Clinical Named Entity Recognition in French
Nesrine Bannour, Christophe Servan, Aurélie Névéol +1
Background: Transformer-based language models have shown strong performance on many Natural LanguageProcessing (NLP) tasks. Masked Language Models (MLMs) attract sustained interest…
Impact of translation on biomedical information extraction from real-life clinical notes
Christel Gérardin, Yuhan Xiong, Perceval Wajsbürt +2
The objective of our study is to determine whether using English tools to extract and normalize French medical concepts on translations provides comparable performance to French mo…
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…