AIMC Topic: Blood Glucose
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Novel indolizine derivatives lowers blood glucose levels in streptozotocin-induced diabetic rats: A histopathological approach.
Pharmacological reports : PR
Nov 28, 2018
BACKGROUND: Diabetes mellitus is a deadly disorder in human which induce chronic complications. The streptozotocin (STZ)-induced diabetes in rat is the most common animal model of human diabetes. The present study investigated the effects of novel in...
High rates of atherogenic dyslipidemia, β-cell function loss, and microangiopathy among Turkish migrants with T2DM.
Diabetes & metabolic syndrome
Nov 24, 2018
AIMS: Non-Caucasian migrants require dedicated approaches in diabetes management due to specific genetic; socio-cultural; demographic and anthropological determinants. Documenting such phenotypes allows for better understanding unmet needs and manage...
Blood Sugar Level Indication Through Chewing and Swallowing from Acoustic MEMS Sensor and Deep Learning Algorithm for Diabetic Management.
Journal of medical systems
Nov 15, 2018
Diabetes, a metabolic disorder due to high blood glycemic index in the human body. The glycemic index varies in the human of improper diet and eating pattern such as junk foods, variation in the quantity of food, swallowing of food without chewing an...
Stacked classifiers for individualized prediction of glycemic control following initiation of metformin therapy in type 2 diabetes.
Computers in biology and medicine
Oct 16, 2018
OBJECTIVE: Metformin is the preferred first-line medication for management of type 2 diabetes and prediabetes. However, over a third of patients experience primary or secondary therapeutic failure. We developed machine learning models to predict whic...
Serum vitamin D deficiency and vitamin D receptor gene polymorphism are associated with increased risk of cardiovascular disease in a Chinese rural population.
Nutrition research (New York, N.Y.)
Sep 13, 2018
Several studies have reported a conflicting association between vitamin D deficiency, vitamin D receptor (VDR) polymorphism, and the risk of cardiovascular disease (CVD). We hypothesized that serum 25(OH)D concentrations and single nucleotide polymor...
Triglycerides and glucose index as an insulin resistance marker in a sample of healthy adults.
Diabetes & metabolic syndrome
Sep 12, 2018
AIM: To assess the association between elevated triglycerides/glucose index (TGI) and insulin resistance (IR) or hyperinsulinemia after oral glucose tolerance test (OGTT) in a sample of healthy adults.
Neural network-based model predictive control for type 1 diabetic rats on artificial pancreas system.
Medical & biological engineering & computing
Aug 1, 2018
Artificial pancreas system (APS) is a viable option to treat diabetic patients. Researchers, however, have not conclusively determined the best control method for APS. Due to intra-/inter-variability of insulin absorption and action, an individualize...
Incorporating Unannounced Meals and Exercise in Adaptive Learning of Personalized Models for Multivariable Artificial Pancreas Systems.
Journal of diabetes science and technology
Jul 31, 2018
BACKGROUND: Despite the recent advancements in the modeling of glycemic dynamics for type 1 diabetes mellitus, automatically considering unannounced meals and exercise without manual user inputs remains challenging.
Emotional hyper-reactivity and cardiometabolic risk in remitted bipolar patients: a machine learning approach.
Acta psychiatrica Scandinavica
May 15, 2018
OBJECTIVE: Remitted bipolar disorder (BD) patients frequently present with chronic mood instability and emotional hyper-reactivity, associated with poor psychosocial functioning and low-grade inflammation. We investigated emotional hyper-reactivity a...
Accurate Diabetes Risk Stratification Using Machine Learning: Role of Missing Value and Outliers.
Journal of medical systems
Apr 10, 2018
Diabetes mellitus is a group of metabolic diseases in which blood sugar levels are too high. About 8.8% of the world was diabetic in 2017. It is projected that this will reach nearly 10% by 2045. The major challenge is that when machine learning-base...
Body Weights and Measures
Age Distribution
Sex Distribution
Diabetes Mellitus
Humans
Male
Indians, North American
Neural Networks, Computer
Machine Learning
Middle Aged
Blood Pressure
Artificial Intelligence
Decision Support Techniques
Blood Glucose
Data Interpretation, Statistical
Female
United States
Bayes Theorem
Reproducibility of Results
Adult
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