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...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Diabetes therapy Jg. 16; H. 10; S. 1973 - 1991
Hauptverfasser:	Fagherazzi, Guy, Serusclat, Pierre, Roux, Barbara, Bretin, Oriane, Casarotto, Emilie, Rabiéga, Pascaline, Rabat, Yolaine, Berteau, Cécile, Pouyet, Antoine, Joubert, Michael
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Cheshire Springer Healthcare 01.10.2025 Springer Springer Nature B.V
Schlagworte:	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-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!