Nationwide Trends in Type 1 and Type 2 Diabetes in France (2010–2019): A Population-Based Study Using a Machine Learning Classification Algorithm

Introduction Diabetes represents an increasing public health challenge in France, yet national data distinguishing type 1 from type 2 diabetes and insulin use remain limited. This study aimed to describe trends in the epidemiology, care pathways and health outcomes of adult individuals living with t...

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Bibliographic Details
Published in:	Diabetes therapy Vol. 16; no. 10; pp. 1973 - 1991
Main Authors:	Fagherazzi, Guy, Serusclat, Pierre, Roux, Barbara, Bretin, Oriane, Casarotto, Emilie, Rabiéga, Pascaline, Rabat, Yolaine, Berteau, Cécile, Pouyet, Antoine, Joubert, Michael
Format:	Journal Article
Language:	English
Published:	Cheshire Springer Healthcare 01.10.2025 Springer Springer Nature B.V
Subjects:	Adults Algorithms Antidiabetics Cardiology Chronic illnesses Classification Diabetes Disease Endocrinology Epidemiology Forecasts and trends Gestational diabetes Health aspects Insulin Internal Medicine Machine learning Medicine Medicine & Public Health Mortality Original Research Population-based studies Public health Trends Type 1 diabetes Type 2 diabetes France Health outcomes France Epidemiology Type 2 diabetes Machine learning algorithm Type 1 diabetes
ISSN:	1869-6953, 1869-6961
Online Access:	Get full text
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