Evaluation of Internet Social Networks using Net scoring Tool: A Case Study in Adverse Drug Reaction Mining. - Sandrine Katsahian; Erica Simond Moreau; Damien Leprovost; Jérémy Lardon; Cédric Bousquet; Gaétan Kerdelhué; Redhouane Abdellaoui; Nathalie Texier; Anita Burgun; Abdelali Boussadi; Carole Faviez (MIE, 2015)

Mining Adverse Drug Reactions in Social Media with Named Entity Recognition and Semantic Methods. - Xiaoyi Chen; Myrtille Deldossi; Rim Aboukhamis; Carole Faviez; Badisse Dahamna; Pierre Karapetiantz; Armelle Guenegou-Arnoux; Yannick Girardeau; Sylvie Guillemin-Lanne; Agnès Lillo-Le Louët; Nathalie Texier; Anita Burgun; et al. (MedInfo, 2017)

Identification of Similar Patients Through Medical Concept Embedding from Electronic Health Records: A Feasibility Study for Rare Disease Diagnosis. - Xiaoyi Chen; Carole Faviez; Marc Vincent; Nicolas Garcelon; Sophie Saunier; Anita Burgun (MIE, 2021)

Fuzzy Matching for Symptom Detection in Tweets: Application to Covid-19 During the First Wave of the Pandemic in France. - Carole Faviez; Pierre Foulquié; Xiaoyi Chen; Adel Mebarki; Sophie Quennelle; Nathalie Texier; Sandrine Katsahian; Stéphane Schück; Anita Burgun (MIE, 2021)

Enriching UMLS-Based Phenotyping of Rare Diseases Using Deep-Learning: Evaluation on Jeune Syndrome. - Carole Faviez; Marc Vincent; Nicolas Garcelon; Caroline Michot; Geneviève Baujat; Valerie Cormier-Daire; Sophie Saunier; Xiaoyi Chen; Anita Burgun (MIE, 2022)

A diagnosis support system to identify rare disease cases in large-scale clinical databases : application to ciliopathies. (Système d'aide au diagnostic pour l'identification de patients atteints de maladies rares au sein de grandes bases de données cliniques : application aux ciliopathies). - Carole Faviez (2022)

Improving Patient Similarity Using Different Modalities of Phenotypes Extracted from Clinical Narratives. - Xiaoyi Chen; Carole Faviez; Marc Vincent; Sophie Saunier; Nicolas Garcelon; Anita Burgun (MIE, 2023)

An Integrated Pipeline for Phenotypic Characterization, Clustering and Visualization of Patient Cohorts in a Rare Disease-Oriented Clinical Data Warehouse. - Xiaoyi Chen; Junyuan Wang; Carole Faviez; Xiaomeng Wang; Marc Vincent; Rosy Tsopra; Anita Burgun; Nicolas Garcelon (MIE, 2024)

Objectivizing issues in the diagnosis of complex rare diseases: lessons learned from testing existing diagnosis support systems on ciliopathies. - Carole Faviez; Xiaoyi Chen; Nicolas Garcelon; Mohamad Zaidan; Katy Billot; Friederike Petzold; Hassan Faour; Maxime Douillet; Jean-Michel Rozet; Valerie Cormier-Daire; Tania Attié-Bitach; Stanislas Lyonnet; et al. (BMC Medical Informatics Decis. Mak., 2024)

Enhancing rare disease detection with deep phenotyping from EHR narratives: evaluation on Jeune syndrome. - Carole Faviez; Xiaomeng Wang; Marc Vincent; Nicolas Garcelon; Sophie Saunier; Valerie Cormier-Daire; Xiaoyi Chen; Anita Burgun (Int. J. Medical Informatics, 2025)

Active learning for extracting rare adverse events from electronic health records: A study in pediatric cardiology. - Sophie Quennelle; Sophie Malekzadeh-Milani; Nicolas Garcelon; Hassan Faour; Anita Burgun; Carole Faviez; Rosy Tsopra; Damien Bonnet; Antoine Neuraz (Int. J. Medical Informatics, 2025)