AI Medical Compendium Journal:
Journal of diabetes and metabolic disorders

Showing 1 to 8 of 8 articles

Protocol for a prospective, multicenter, parallel-group, open-label randomized controlled trial comparing standard care with Closed lOoP In chiLdren and yOuth with Type 1 diabetes and high-risk glycemic control: the CO-PILOT trial.

Journal of diabetes and metabolic disorders
PURPOSE: Advanced hybrid closed loop (AHCL) systems have the potential to improve glycemia and reduce burden for people with type 1 diabetes (T1D). Children and youth, who are at particular risk for out-of-target glycemia, may have the most to gain f...

Machine learning techniques to predict the risk of developing diabetic nephropathy: a literature review.

Journal of diabetes and metabolic disorders
PURPOSE: Diabetes is a major public health challenge with widespread prevalence, often leading to complications such as Diabetic Nephropathy (DN)-a chronic condition that progressively impairs kidney function. In this context, it is important to eval...

A cohort study on the predictive capability of body composition for diabetes mellitus using machine learning.

Journal of diabetes and metabolic disorders
PURPOSE: We applied machine learning to study associations between regional body fat distribution and diabetes mellitus in a population of community adults in order to investigate the predictive capability. We retrospectively analyzed a subset of dat...

A stacked ensemble machine learning approach for the prediction of diabetes.

Journal of diabetes and metabolic disorders
OBJECTIVES: Diabetes has become a leading cause of mortality in both developed and developing countries, impacting a growing number of individuals worldwide. As the prevalence of the disease continues to rise, researchers have diligently worked towar...

Risk prediction models for postpartum glucose intolerance in women with a history of gestational diabetes mellitus: a scoping review.

Journal of diabetes and metabolic disorders
OBJECTIVE: The objective of this scoping review was to investigate the effectiveness and limitations of risk prediction models for postpartum glucose intolerance in women with gestational diabetes mellitus (GDM). The aim was to provide valuable insig...

Precision medicine journey through omics approach.

Journal of diabetes and metabolic disorders
It has been well established that understanding the underlying heterogeneity of numerous complex disease process needs new strategies that present in precision medicine for prediction, prevention and personalized treatment strategies. This approach m...

The basal to total insulin ratio in outpatients with diabetes on basal-bolus regimen.

Journal of diabetes and metabolic disorders
OBJECTIVE: To evaluate the basal/total ratio of daily insulin dose (b/T) in outpatients with diabetes type 1 (DM1) and type 2 (DM2) on basal-bolus regimen, by investigating whether there is a relationship with HbA1c and episodes of hypoglycemia.

Differential association of plasma monocyte chemoattractant protein-1 with systemic inflammatory and airway remodeling biomarkers in type-2 diabetic patients with and without asthma.

Journal of diabetes and metabolic disorders
BACKGROUND: Chronic inflammation is a hallmark of type-2 diabetes (T2D) and asthma. Monocyte chemoattractant protein (MCP)-1 or CCL-2 is a key regulator of monocytic infiltration into the sites of inflammation. The changes in systemic MCP-1 levels an...