BACKGROUND Evidence-based diabetes guidelines generally neglect comorbidity, which may interfere with diabetes management. The prevalence of comorbidity described in patients with type 2 diabetes (T2D) shows a wide range depending on the population selected and the comorbid diseases studied. This exploratory study aimed to establish comorbidity rates in an unselected primary-care population of ...

PURPOSE The purpose of this study was to examine the effects of depression and antidepressant use on goal setting and barrier identification in patients with type 2 diabetes. METHODS In a large diabetes education network, 778 patients with type 2 diabetes were enrolled in the American Association of Diabetes Educators (AADE) Outcomes System as part of their routine diabetes education between ...

Diabetes is an acute disease that happens when the pancreas cannot produce enough insulin. It can be fatal if undiagnosed and untreated. If diabetes revealed early enough, it possible, with adequate treatment, to live a healthy life. Recently, researchers have applied artificial intelligence techniques forecasting of diabetes. As result, new SMOTE-based deep LSTM system was developed detect ear...

Monogenic diabetes represents a heterogeneous group of disorders resulting from defects in single genes. Defects are categorized primarily into two groups: disruption of β-cell function or a reduction in the number of β-cells. A complex network of transcription factors control pancreas formation, and a dysfunction of regulators high in the hierarchy leads to pancreatic agenesis. Dysfunction amo...

Recently, Bayesian methods have been proposed for neural networks to solve regression and classi cation problems. These methods claim to overcome some di culties encountered in the standard approach such as over tting. However, an implementation of the full Bayesian approach to neural networks as suggested in the literature applied to classi cation problems is not easy. In fact we are not aware...

BACKGROUND/AIMS Sibling recurrence risk (SRR) is a measure of familial aggregation of a disease and is often used in family-based studies in genetic epidemiology to indicate the existence of possible genes conferring susceptibility of disease. Estimating SRR requires information about the disease status of sibships of families with two or more siblings where at least one is affected. Since fami...

The connectivity of a protein and its structure is related to its functional properties. Many experimental approaches have been employed for the identification of Diabetes Mellitus (DM) associated candidate genes. Therefore, it is of interest to use var ious graph centrality measures integrated with the genes associated with the human Diabetes Mellitus network for the identification of potentia...

Diabetes mellitus is a metabolic disease in which blood glucose levels rise as result of pancreatic insulin production failure. It causes hyperglycemia and chronic multiorgan dysfunction, including blindness, renal failure, cardiovascular disease, if left untreated. One the essential checks that are needed to be performed frequently Type 1 Mellitus test, this procedure involves extracting quite...