Carole Faviez Engineer | Email: carole.faviez@inserm.fr Office address: Institut Imagine, 24 boulevard du Montparnasse, 75015, Paris Webpage: … Bio: I am an engineer working on the development of diagnosis support systems for rare diseases using artificial intelligence. |
Research projects
C’IL-LICO – Developing innovative diagnostic, prognostic and tailored therapeutic approaches for patients suffering from ciliopathies
Publications
Criteria : Author : “carole faviez”
Number of occurrences founded : 19.
- titre
- Improving Patient Similarity Using Different Modalities of Phenotypes Extracted from Clinical Narratives
- auteur
- Xiaoyi Chen, Carole Faviez, Marc Vincent, Sophie Saunier, Nicolas Garcelon, Anita Burgun
- article
- Studies in Health Technology and Informatics, 2023, Studies in Health Technology and Informatics, ⟨10.3233/SHTI230342⟩
- titre
- The Adverse Drug Reactions From Patient Reports in Social Media Project: Protocol for an Evaluation Against a Gold Standard
- auteur
- Armelle Arnoux-Guenegou, Yannick Girardeau, Xiaoyi Chen, Myrtille Deldossi, Rim Aboukhamis, Carole Faviez, Badisse Dahamna, Pierre Karapetiantz, Sylvie Guillemin-Lanne, Agnès Lillo-Le Louët, Nathalie Texier, Anita Burgun, Sandrine Katsahian
- article
- JMIR Research Protocols, 2019, 8 (5), pp.e11448. ⟨10.2196/11448⟩
- titre
- Detection of Cases of Noncompliance to Drug Treatment in Patient Forum Posts: Topic Model Approach
- auteur
- Redhouane Abdellaoui, Pierre Foulquié, Nathalie Texier, Carole Faviez, Anita Burgun, Stéphane Schück
- article
- Journal of Medical Internet Research, 2018, 20 (3), pp.e85. ⟨10.2196/jmir.9222⟩
- titre
- Mining Adverse Drug Reactions in Social Media with Named Entity Recognition and Semantic Methods.
- auteur
- 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
- article
- Studies in Health Technology and Informatics, 2017, 245, pp.322-326. ⟨10.3233/978-1-61499-830-3-322⟩
- titre
- Mapping and Modeling of Discussions Related to Gastrointestinal Discomfort in French-Speaking Online Forums: Results of a 15-Year Retrospective Infodemiology Study
- auteur
- Florent Schäfer, Carole Faviez, Paméla Voillot, Pierre Foulquié, Matthieu Najm, Jean-François Jeanne, Guy Fagherazzi, Stéphane Schück, Boris Le Nevé
- article
- Journal of Medical Internet Research, 2020, 22, ⟨10.2196/17247⟩
- titre
- Fuzzy Matching for Symptom Detection in Tweets: Application to Covid-19 During the First Wave of the Pandemic in France
- auteur
- Carole Faviez, Pierre Foulquié, Xiaoyi Chen, Adel Mebarki, Sophie Quennelle, Nathalie Texier, Sandrine Katsahian, Stéphane Schuck, Anita Burgun
- article
- Studies in Health Technology and Informatics, 2021, ⟨10.3233/shti210308⟩
- titre
- Mining Patients’ Narratives in Social Media for Pharmacovigilance: Adverse Effects and Misuse of Methylphenidate
- auteur
- Xiaoyi Chen, Carole Faviez, Stéphane Schuck, Agnès Lillo-Le-Louët, Nathalie Texier, Badisse Dahamna, Charles Huot, Pierre Foulquié, Suzanne Pereira, Vincent Leroux, Pierre Karapetiantz, Armelle Guenegou-Arnoux, Sandrine Katsahian, Cédric Bousquet, Anita Burgun
- article
- Frontiers in Pharmacology, 2018, 9, pp.541. ⟨10.3389/fphar.2018.00541⟩
- titre
- Enriching UMLS-Based Phenotyping of Rare Diseases Using Deep-Learning: Evaluation on Jeune Syndrome
- auteur
- Carole Faviez, Marc Vincent, Nicolas Garcelon, Caroline Michot, Genevieve Baujat, Valerie Cormier-Daire, Sophie Saunier, Xiaoyi Chen, Anita Burgun
- article
- Challenges of Trustable AI and Added-Value on Health, IOS Press, 2022, Studies in Health Technology and Informatics, ⟨10.3233/SHTI220604⟩
- titre
- Evaluation of Internet Social Networks using Net scoring Tool: A Case Study in Adverse Drug Reaction Mining
- auteur
- Sandrine Katsahian, Erica Simond Moreau, Damien Leprovost, Jérémy Lardon, Cédric Bousquet, Gaétan Kerdelhué, Redhouane Abdellaoui, Nathalie Texier, Anita Burgun, Abdelali Boussadi, Carole Faviez
- article
- Studies in Health Technology and Informatics, 2015, 210, pp.526-30
- titre
- Enriching UMLS-Based Phenotyping of Rare Diseases Using Deep-Learning: Evaluation on Jeune Syndrome
- auteur
- Carole Faviez, Marc Vincent, Nicolas Garcelon, Caroline Michot, Genevieve Baujat, Valerie Cormier-Daire, Sophie Saunier, Xiaoyi Chen, Anita Burgun
- article
- Challenges of Trustable AI and Added-Value on Health, 294, IOS Press; IOS Press, pp.844-848, 2022, Studies in Health Technology and Informatics, ⟨10.3233/SHTI220604⟩
- titre
- Objectivizing issues in the diagnosis of complex rare diseases: lessons learned from testing existing diagnosis support systems on ciliopathies
- auteur
- Carole Faviez, Xiaoyi Chen, Nicolas Garcelon, Mohamad Zaidan, Katy Billot, Friederike Petzold, Hassan Faour, Maxime Douillet, Jean-Michel Rozet, Valérie Cormier-Daire, Tania Attié-Bitach, Stanislas Lyonnet, Sophie Saunier, Anita Burgun
- article
- BMC Medical Informatics and Decision Making, 2024, 24 (1), pp.134. ⟨10.1186/s12911-024-02538-8⟩
- titre
- Assessment of the Early Detection of Anosmia and Ageusia Symptoms in COVID-19 on Twitter: Retrospective Study
- auteur
- Carole Faviez, Manissa Talmatkadi, Pierre Foulquié, Adel Mebarki, Stéphane Schück, Anita Burgun, Xiaoyi Chen
- article
- JMIR Infodemiology, 2023, 3, pp.e41863. ⟨10.2196/41863⟩
- titre
- The Adverse Drug Reactions from Patient Reports in Social Media Project: Five Major Challenges to Overcome to Operationalize Analysis and Efficiently Support Pharmacovigilance Process
- auteur
- Cédric Bousquet, Badisse Dahamna, Sylvie Guillemin-Lanne, Stefan J. Darmoni, Carole Faviez, Charles Huot, Sandrine Katsahian, Vincent Leroux, Suzanne Pereira, Christophe C. Richard, Stéphane Schuck, Julien Souvignet, Agnès Lillo-Le Louet, Nathalie Texier
- article
- JMIR Research Protocols, 2017, 6 (9), pp.e179. ⟨10.2196/resprot.6463⟩
- titre
- Performance and clinical utility of a new supervised machine-learning pipeline in detecting rare ciliopathy patients based on deep phenotyping from electronic health records and semantic similarity
- auteur
- Carole Faviez, Marc Vincent, Nicolas Garcelon, Olivia Boyer, Bertrand Knebelmann, Laurence Heidet, Sophie Saunier, Xiaoyi Chen, Anita Burgun
- article
- Orphanet Journal of Rare Diseases, 2024, 19 (1), pp.55. ⟨10.1186/s13023-024-03063-7⟩
- titre
- Identification of Similar Patients Through Medical Concept Embedding from Electronic Health Records: A Feasibility Study for Rare Disease Diagnosis
- auteur
- Xiaoyi Chen, Carole Faviez, Marc Vincent, Nicolas Garcelon, Sophie Saunier, Anita Burgun
- article
- Studies in Health Technology and Informatics, 2021, ⟨10.3233/shti210241⟩
- titre
- Diagnosis support systems for rare diseases: a scoping review
- auteur
- Carole Faviez, Xiaoyi Chen, Nicolas Garcelon, Antoine Neuraz, Bertrand Knebelmann, Rémi Salomon, Stanislas Lyonnet, Sophie Saunier, Anita Burgun
- article
- Orphanet Journal of Rare Diseases, 2020, 15 (1), pp.94. ⟨10.1186/s13023-020-01374-z⟩
- titre
- Diagnosis support systems for rare diseases: a scoping review
- auteur
- Carole Faviez, Xiaoyi Chen, Nicolas Garcelon, Antoine Neuraz, Bertrand Knebelmann, Rémi Salomon, Stanislas Lyonnet, Sophie Saunier, Anita Burgun
- article
- Orphanet Journal of Rare Diseases, 2020, 15 (1), pp.94. ⟨10.1186/s13023-020-01374-z⟩
- titre
- Concerns Discussed on Chinese and French Social Media During the COVID-19 Lockdown: Comparative Infodemiology Study Based on Topic Modeling
- auteur
- Stéphane Schück, Pierre Foulquié, Adel Mebarki, Carole Faviez, Mickaïl Khadhar, Nathalie Texier, Sandrine Katsahian, Anita Burgun, Xiaoyi Chen
- article
- JMIR Formative Research, 2021, 5 (4), pp.e23593. ⟨10.2196/23593⟩
- titre
- Patient-Patient Similarity-Based Screening of a Clinical Data Warehouse to Support Ciliopathy Diagnosis
- auteur
- Xiaoyi Chen, Carole Faviez, Marc Vincent, Luis Briseño-Roa, Hassan Faour, Jean-Philippe Annereau, Stanislas Lyonnet, Mohamad Zaidan, Sophie Saunier, Nicolas Garcelon, Anita Burgun
- article
- Frontiers in Pharmacology, 2022, 13, ⟨10.3389/fphar.2022.786710⟩