Background: Previous reviews have shown inconsistent effects of publicly reported
performance data on quality of care, but many new studies have become available in the 7 …

Abstract Gestational Diabetes Mellitus (GDM) poses significant health risks to mothers and
infants. Early prediction and effective management are crucial to improving outcomes …

Aims Early postpartum glucose screening of women with hyperglycaemia in pregnancy
(HIP) can identify women who have the highest risk of developing impaired glucose …

Background This systematic review aims to explore the early predictive value of machine
learning (ML) models for the progression of gestational diabetes mellitus (GDM) to type 2 …

Early onset of type 2 diabetes and cardiovascular disease are common complications for
women diagnosed with gestational diabetes. Prediabetes refers to a condition in which …

Background The burden of Gestational Diabetes Mellitus (GDM) is very high in south Asia
(SA) and southeast Asia (SEA). Thus, there is a need to understand the prevalence and risk …

OBJECTIVE This study aimed to summarize the current interventions aimed at improving
postpartum diabetes screening attendance and to compare their effectiveness. DATA …

Abstract Machine learning (ML) has been widely adopted in the healthcare industry for
improving patient outcomes and operational efficiency. Predicting no-show appointments is …

Background Early onset of type 2 diabetes and cardiovascular disease are common
complications for women diagnosed with gestational diabetes. About half of the women with …

Objective We aimed to evaluate uptake of the glucose tolerance test performed during
delivery hospitalization as part of routine clinical care. Study Design This is a retrospective …