OBJECTIVE This study was conducted to update national estimates of the economic burden
of undiagnosed diabetes, prediabetes, and gestational diabetes mellitus (GDM) in the …

With the growing reliance on artificial intelligence (AI) for many different applications, the
sharing of code, data, and models is important to ensure the replicability and …

Background Diabetes is a chronic noncommunicable disease with high incidence rate.
Diabetics without early diagnosis or standard treatment may contribute to serious …

Aim Nationwide data on the evolution of diabetes incidence and prevalence are scarce in
France. For this reason, our objectives were to determine type 2 diabetes prevalence and …

Background The prevalence of diabetes, constituted chiefly by type 2 diabetes mellitus
(T2DM), is a global public health threat. Suboptimal health status (SHS), a physical state …

Objetivo Investigar si la asociación entre diabetes mellitus tipo 2 (DMT2) y antecedentes
familiares de DMT2 resulta modificada por los niveles de actividad física en población …

Given the limited data in the literature, the aim of this study was to investigate the association
between type 2 diabetes and anhedonic subtype of major depression in hypertensive …

Background and aim The aim of the study is to identify statistical patterns in patients with
myocardial infarction (MI) during hospitalization that allow predicting the development of …

Background: Risk prediction plays a crucial role in planning for prevention, monitoring, and
treatment. Electronic Health Records (EHRs) offer an expansive repository of temporal …

Objective The aim of this study was to develop and validate a machine learning-based
model to predict the development of impaired fasting glucose (IFG) in middle-aged and older …