| Rationale and methodology for a European pooled analysis of postmarketing interventional and observational studies of insulin glargine 300 U/mL in diabetes: protocol of REALI … N Freemantle, RC Bonadonna, P Gourdy, D Mauricio, D Mueller-Wieland, ... BMJ open 10 (4), e033659, 2020 | 13 | 2020 |
| Qluster: An easy-to-implement generic workflow for robust clustering of health data C Esnault, M Rollot, P Guilmin, JD Zucker Frontiers in Artificial Intelligence 5, 1055294, 2023 | 4 | 2023 |
| Unmet medical needs in people with type 2 diabetes treated by insulin: results from the International Diabetes Management Practices Survey (IDMPS) A Ramachandran, JC Mbanya, P Aschner, JJ Gagliardino, H Ilkova, ... Diabetologia 62, S425-S425, 2019 | 3 | 2019 |
| A machine learning algorithm can identify clusters of patients with favourable glycaemic outcomes in a pooled European Gla-300 studies (REALI): Novel signposts for clinicians? M Rollot, M Bonnemaire, C Brulle-Wohlhueter, L Pedrazzini, E Corfec, ... DIABETOLOGIA 61, S431-S432, 2018 | 3 | 2018 |
| Development of a rare disease algorithm to identify persons at risk of Gaucher disease using electronic health records in the United States A Wilson, A Chiorean, M Aguiar, D Sekulic, P Pavlick, N Shah, ... Orphanet Journal of Rare Diseases 18 (1), 280, 2023 | 1 | 2023 |
| RWD141 AI-Powered Pre-Competitive Disease and Care Modeling: Building a Reference Disease-Centric Framework for Value-Based Decision Making B Amzal, A Movschin, A Chiorean, M Rollot, M Génin, J Tanniou Value in Health 26 (6), S387-S388, 2023 | | 2023 |
| RWD102 Cluster Algorithm for Credible Subgroup Identification in Patients with Erectile Dysfunction Receiving Tadalafil: A Real-World Data Study KT McVary, C Daluwatte, RA Kloner, M Montmerle, M Rollot, P Guilmin, ... Value in Health 26 (6), S380, 2023 | | 2023 |
| PCR172 A Natural Language Processing (NLP) Approach to Automate Patients’ Testimonials Analysis P Hayat, C Clemente, V Martenot, M Rollot Value in Health 25 (12), S424, 2022 | | 2022 |
| Une nouvelle approche d'analyse automatique de réponses de questionnaires patients basée sur les modèles de langages L Deplante, P Hayat, M Rollot Revue d'Épidémiologie et de Santé Publique 70, S271, 2022 | | 2022 |
| 1231-P: Using Natural Language Processing (NLP) to Understand Self-Reported Barriers and Enablers to Treatment Adherence in Type 2 Diabetes (T2D) Using Data from the … JC Chan, JJ Gagliardino, HM Ilkova, A Ramachandran, JC Mbanya, ... Diabetes 71 (Supplement_1), 2022 | | 2022 |
| Identification of Patient Profiles with Better Glycemic Outcomes Using Machine Learning—Results from the International Diabetes Management Practices Study (IDMPS) JCN Chan, JJ Gagliardino, HM Ilkova, FJ LAVALLE-GONZALEZ, ... Diabetes 67 (Supplement_1), 2018 | | 2018 |
| Nick Freemantle, Riccardo C Bonadonna, 2, 3 Pierre Gourdy, 4, 5 Didac Mauricio, 6, 7 Dirk Mueller-Wieland, 8 Gregory Bigot, 9 Alice Ciocca, 10 C Mauquoi, M Rollot, M Bonnemaire10 | | |
| Cluster Algorithm for Credible Subgroup Identification in Patients With Erectile Dysfunction Receiving Tadalafil: A Real-World Data Study KT McVary, C Daluwatte, RA Kloner, M Montmerle, M Rollot, P Guilmin, ... | | |
