Nationwide Trends in Type 1 and Type 2 Diabetes in France (2010–2019): A Population-Based Study Using a Machine Learning Classification Algorithm
This national study provides updated insights into diabetes in France and highlights the need to improve access to specialised care and reinforce long-term surveillance strategies.
Authors
- Yolaine Rabat (ORCID: https://orcid.org/0000-0002-1244-0535)
- Michaël Joubert (ORCID: https://orcid.org/0000-0002-8731-7355)
- Emilie Casarotto (ORCID: https://orcid.org/0000-0003-1891-417X)
- Pascaline Rabiéga
- Pierre Sérusclat (ORCID: https://orcid.org/0000-0002-7252-3092)
- Guy Fagherazzi (ORCID: https://orcid.org/0000-0001-5033-5966)
- Barbara Roux (ORCID: https://orcid.org/0000-0002-0303-1246)
- Oriane Bretin
- Cécile Berteau
- Antoine Pouyet
Institutions
- Luxembourg Institute of Health (LU)
- Centre Inria de l'Université Grenoble Alpes (FR)
- Melun Hospital (FR)
- IQVIA (France) (FR)
- ProbaYes (France) (FR)
- Université de Caen Normandie (FR)
Publication Details
- Journal
- Diabetes Therapy
- Published
- 2025-09-03
- DOI
- https://doi.org/10.1007/s13300-025-01781-0
- Citations
- 1
- Primary Topic
- Diabetes Management and Research
- Type
- article
- Field-Weighted Citation Impact
- 1.29
Funders
- Conservatoire National des Arts et Métiers
- Roche Diabetes Care