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2020 – today
- 2024
[j1]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:
Objectivizing issues in the diagnosis of complex rare diseases: lessons learned from testing existing diagnosis support systems on ciliopathies. BMC Medical Informatics Decis. Mak. 24(1): 134 (2024)- [c7]Xiaoyi Chen, Junyuan Wang, Carole Faviez, Xiaomeng Wang, Marc Vincent, Rosy Tsopra, Anita Burgun, Nicolas Garcelon:
An Integrated Pipeline for Phenotypic Characterization, Clustering and Visualization of Patient Cohorts in a Rare Disease-Oriented Clinical Data Warehouse. MIE 2024: 1785-1789 - 2023
- [c6]Xiaoyi Chen, Carole Faviez, Marc Vincent, Sophie Saunier, Nicolas Garcelon, Anita Burgun:
Improving Patient Similarity Using Different Modalities of Phenotypes Extracted from Clinical Narratives. MIE 2023: 1037-1041 - 2022
- [b1]Carole Faviez:
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). Paris Cité University, France, 2022 - [c5]Carole Faviez, Marc Vincent, Nicolas Garcelon, Caroline Michot, Geneviève Baujat, Valerie Cormier-Daire, Sophie Saunier, Xiaoyi Chen, Anita Burgun:
Enriching UMLS-Based Phenotyping of Rare Diseases Using Deep-Learning: Evaluation on Jeune Syndrome. MIE 2022: 844-848 - 2021
- [c4]Xiaoyi Chen, Carole Faviez, Marc Vincent, Nicolas Garcelon, Sophie Saunier, Anita Burgun:
Identification of Similar Patients Through Medical Concept Embedding from Electronic Health Records: A Feasibility Study for Rare Disease Diagnosis. MIE 2021: 600-604 - [c3]Carole Faviez, Pierre Foulquié, Xiaoyi Chen, Adel Mebarki, Sophie Quennelle, Nathalie Texier, Sandrine Katsahian, Stéphane Schück, Anita Burgun:
Fuzzy Matching for Symptom Detection in Tweets: Application to Covid-19 During the First Wave of the Pandemic in France. MIE 2021: 896-900
2010 – 2019
- 2017
- [c2]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:
Mining Adverse Drug Reactions in Social Media with Named Entity Recognition and Semantic Methods. MedInfo 2017: 322-326 - 2015
- [c1]Sandrine Katsahian, Erica Simond Moreau, Damien Leprovost, Jérémy Lardon, Cédric Bousquet, Gaétan Kerdelhué, Redhouane Abdellaoui, Nathalie Texier, Anita Burgun, Abdelali Boussadi, Carole Faviez:
Evaluation of Internet Social Networks using Net scoring Tool: A Case Study in Adverse Drug Reaction Mining. MIE 2015: 526-530
Coauthor Index
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