A risk prediction model assesses seven variables to determine the best intervention for lowering type 2 diabetes risk. Intensive lifestyle intervention was the optimal treatment strategy for most ...

This study highlights the potential of heart rate variability as an early indicator of gestational diabetes, facilitating ...

Please provide your email address to receive an email when new articles are posted on . Computer models using machine learning and artificial intelligence successfully predicted gestational ...

In a recent study published in the European Heart Journal, researchers described the development and validation process of SCORE2-Diabetes, a prediction model containing a recalibrated algorithm ...

The initial risk score was generated using the San Antonio Diabetes Prediction Model (SADPM). For initial screening and identification of high-risk individuals, the optimal cut point was a risk ...

Patients with type 2 diabetes can determine their risk of chronic kidney disease (CKD) by using a risk prediction model. A study published in Diabetes, Obesity and Metabolism found that a risk ...

Leveraging cutting-edge metabolomics, this study unveils a cost-effective and accurate diabetes prediction model that could revolutionize early detection and prevention strategies. Study ...

Authors note the purpose of their study was to “examine whether a modified cardiometabolic disease staging (CMDS) system, a validated diabetes prediction model, predicts major adverse cardiovascular ...