A Chen, B Tan, R Du, YS Chong, C Zhang… - Cardiovascular …, 2024 - Springer
Objective We aimed to summarize the association between gestational diabetes mellitus (GDM) and its intergenerational cardiovascular diseases (CVDs) impacts in both mothers …
SS Bhat, M Banu, GA Ansari, V Selvam - Healthcare Analytics, 2023 - Elsevier
Diabetes disease seriously threatens people's health and is becoming more common nowadays. Diabetes Mellitus (DM) is a condition caused by high blood sugar levels …
Background Despite many systematic reviews and meta-analyses examining the associations of pregnancy complications with risk of type 2 diabetes mellitus (T2DM) and …
Supervised learning is a technique of machine learning by doing learning that has a reference value to direct something, one of which is the K-Nearest Neighbor (KNN) method …
Background Gestational diabetes (GD) can threaten the health of both the mother and the foetus if it is not effectively managed. While there exists a growing body of research on self …
TM Gammeltoft, TA Nguyen, TKD Vu… - Global Health …, 2024 - Taylor & Francis
Background Gestational diabetes mellitus (GDM) is an abnormal glucose metabolism diagnosed during pregnancy that can have serious adverse consequences for mother and …
L McGovern, L O'Toole, Z Houshialsadat… - Obesity …, 2024 - Wiley Online Library
Summary mHealth interventions play an increasingly important role in health behavior change for gestational diabetes or peripartum obesity management. This qualitative …
L Nguyen‐Hoang, GN Smith, L Bergman… - … of Gynecology & …, 2023 - Wiley Online Library
Pregnancy is often considered a physiological stress test that can unmask pre-existing or subclinical diseases that may manifest later in life. Any complications that arise during …
HD McIntyre, U Kampmann… - The Journal of …, 2025 - academic.oup.com
Sixty years after the landmark publication by O'Sullivan and Mahan, the current paper seeks to review and place into context the importance of gestational diabetes (GDM) both as a …