AIMC Topic: Blood Glucose
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Instant White Rice with Pigmented Giant Embryonic Rice Improves Glucose Metabolism and Inhibits Oxidative Stress in High-Fat Diet-Fed Mice.
International journal for vitamin and nutrition research. Internationale Zeitschrift fur Vitamin- und Ernahrungsforschung. Journal international de vitaminologie et de nutrition
May 24, 2019
The effects of instant cooked rice made from a combination of white rice and pigmented giant embryonic Keunnunjami rice, in comparison with those of instant regular white or brown rice and instant non-pigmented giant embryonic brown rice, on the gluc...
How Knowledge Emerges From Artificial Intelligence Algorithm and Data Visualization for Diabetes Management.
Journal of diabetes science and technology
May 21, 2019
BACKGROUND: Self-monitoring blood glucose (SMBG) is facilitated by application available to analyze these data. They are mainly based on descriptive statistical analyses. In this study, we are proposing a method inspired by artificial intelligence al...
Predictive Estimates of Risks Associated with Type 2 Diabetes Mellitus on the Basis of Biochemical Biomarkers and Derived Time-Dependent Parameters.
Journal of computational biology : a journal of computational molecular cell biology
Apr 17, 2019
Convolutional Recurrent Neural Networks for Glucose Prediction.
IEEE journal of biomedical and health informatics
Apr 1, 2019
Control of blood glucose is essential for diabetes management. Current digital therapeutic approaches for subjects with type 1 diabetes mellitus such as the artificial pancreas and insulin bolus calculators leverage machine learning techniques for pr...
Simple Linear Support Vector Machine Classifier Can Distinguish Impaired Glucose Tolerance Versus Type 2 Diabetes Using a Reduced Set of CGM-Based Glycemic Variability Indices.
Journal of diabetes science and technology
Mar 31, 2019
BACKGROUND: Many glycemic variability (GV) indices exist in the literature. In previous works, we demonstrated that a set of GV indices, extracted from continuous glucose monitoring (CGM) data, can distinguish between stages of diabetes progression. ...
Aged
Adult
Male
Middle Aged
Algorithms
Female
Reproducibility of Results
Predictive Value of Tests
Data Interpretation, Statistical
Blood Glucose Self-Monitoring
Datasets as Topic
Blood Glucose
Diabetes Mellitus, Type 2
Support Vector Machine
Diagnosis, Differential
Humans
Glucose Intolerance
Glycemic Control
Health Status Indicators
Risk-based postprandial hypoglycemia forecasting using supervised learning.
International journal of medical informatics
Mar 11, 2019
BACKGROUND: Predicting insulin-induced postprandial hypoglycemic events is critical for the safety of type 1 diabetes patients because an early warning of hypoglycemia facilitates correction of the insulin bolus before its administration. The postpra...
Prediction of Hypoglycemia During Aerobic Exercise in Adults With Type 1 Diabetes.
Journal of diabetes science and technology
Jan 17, 2019
BACKGROUND: Fear of exercise related hypoglycemia is a major reason why people with type 1 diabetes (T1D) do not exercise. There is no validated prediction algorithm that can predict hypoglycemia at the start of aerobic exercise.
Picomolar detection of retinol binding protein 4 for early management of type II diabetes.
Biosensors & bioelectronics
Dec 24, 2018
Type (II) diabetes is one of the major threats to mankind as it causes insulin resistance in human body and Retinol Binding Protein 4 (RBP4) is currently considered as a potential biomarker for early management of this disease. Hence a low-level dete...
A Dual Mode Adaptive Basal-Bolus Advisor Based on Reinforcement Learning.
IEEE journal of biomedical and health informatics
Dec 17, 2018
Self-monitoring of blood glucose (SMBG) and continuous glucose monitoring (CGM) are commonly used by type 1 diabetes (T1D) patients to measure glucose concentrations. The proposed adaptive basal-bolus algorithm (ABBA) supports inputs from either SMBG...
Non-invasive prediction of blood glucose trends during hypoglycemia.
Analytica chimica acta
Dec 15, 2018
Over the last four decades, there has been a pursuit for a non-invasive solution for glucose measurement, but there is not yet any viable product released. Of the many sensor modalities tried, the combination of electrical and optical measurement is ...
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