Carole Faviez

According to our database, Carole Faviez authored at least 10 papers between 2015 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

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

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, Sophie Saunier, Anita Burgun

BMC Medical Informatics Decis. Mak., December, 2024

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

Proceedings of the Digital Health and Informatics Innovations for Sustainable Health Care Systems, 2024

2023

Improving Patient Similarity Using Different Modalities of Phenotypes Extracted from Clinical Narratives.

Xiaoyi Chen, Carole Faviez, Marc Vincent, Sophie Saunier, Nicolas Garcelon, Anita Burgun

Proceedings of the Caring is Sharing - Exploiting the Value in Data for Health and Innovation - Proceedings of MIE 2023, Gothenburg, Sweden, 22, 2023

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

PhD thesis, 2022

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

Proceedings of the Challenges of Trustable AI and Added-Value on Health, 2022

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

Proceedings of the Public Health and Informatics, 2021

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

Proceedings of the Public Health and Informatics, 2021

2017

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, Sandrine Katsahian

Proceedings of the MEDINFO 2017: Precision Healthcare through Informatics, 2017

2015

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

Proceedings of the Digital Healthcare Empowering Europeans, 2015