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)

An analogy based framework for patient-stay identification in healthcare. - Safa Alsaidi; Miguel Couceiro; Esteban Marquer; Sophie Quennelle; Anita Burgun; Nicolas Garcelon; Adrien Coulet (ICCBR Workshops, 2022)

Exploring Analogical Inference in Healthcare. - Safa Alsaidi; Miguel Couceiro; Sophie Quennelle; Anita Burgun; Nicolas Garcelon; Adrien Coulet (IARML@IJCAI, 2022)

The Smart Data Extractor, a Clinician Friendly Solution to Accelerate and Improve the Data Collection During Clinical Trials. - Sophie Quennelle; Maxime Douillet; Lisa Friedlander; Olivia Boyer; Antoine Neuraz; Anita Burgun; Nicolas Garcelon (MIE, 2023)

Extraction automatisée des données du texte médical du dossier patient informatisé pour le phénotypage profond et la prédiction des risques en cardiologie pédiatrique. (Automated extraction of medical text data from electronic patient records for deep phenotyping and risk prediction in pediatric cardiology). - Sophie Quennelle (2023)

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)