AIMC Topic: Blood Glucose

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GluNet: A Deep Learning Framework for Accurate Glucose Forecasting.

IEEE journal of biomedical and health informatics Jul 29, 2019
For people with Type 1 diabetes (T1D), forecasting of blood glucose (BG) can be used to effectively avoid hyperglycemia, hypoglycemia and associated complications. The latest continuous glucose monitoring (CGM) technology allows people to observe glu...
Blood Glucose Self-Monitoring Deep Learning Blood Glucose Diabetes Mellitus, Type 1 Probability Humans Algorithms
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Data-driven modeling and prediction of blood glucose dynamics: Machine learning applications in type 1 diabetes.

Artificial intelligence in medicine Jul 26, 2019
BACKGROUND: Diabetes mellitus (DM) is a metabolic disorder that causes abnormal blood glucose (BG) regulation that might result in short and long-term health complications and even death if not properly managed. Currently, there is no cure for diabet...
Humans Machine Learning Hypoglycemic Agents Models, Biological Data Mining Blood Glucose Self-Monitoring Feeding Behavior Blood Glucose Diet Patient-Specific Modeling Insulin Exercise Mobile Applications Stress, Psychological Diabetes Mellitus, Type 1 Wearable Electronic Devices
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TyG-er: An ensemble Regression Forest approach for identification of clinical factors related to insulin resistance condition using Electronic Health Records.

Computers in biology and medicine Jul 17, 2019
BACKGROUND: Insulin resistance is an early-stage deterioration of Type 2 diabetes. Identification and quantification of insulin resistance requires specific blood tests; however, the triglyceride-glucose (TyG) index can provide a surrogate assessment...
Humans Machine Learning Electronic Health Records Blood Glucose Diabetes Mellitus, Type 2 Female Insulin Resistance Aged Triglycerides Male Middle Aged
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Minimizing postprandial hypoglycemia in Type 1 diabetes patients using multiple insulin injections and capillary blood glucose self-monitoring with machine learning techniques.

Computer methods and programs in biomedicine Jun 27, 2019
BACKGROUND: Diabetic patients treated with intensive insulin therapies require a tight glycemic control and may benefit from advanced tools to predict blood glucose (BG) concentration levels and hypo/hyperglycemia events. Prediction systems using mac...
Diabetes Mellitus, Type 1 Hypoglycemic Agents Bayes Theorem Hypoglycemia Male Middle Aged Blood Glucose Insulin Insulin Infusion Systems Capillaries Postprandial Period Blood Glucose Self-Monitoring False Positive Reactions Normal Distribution Machine Learning Algorithms Computer Simulation Retrospective Studies Female Reproducibility of Results Adult Sensitivity and Specificity Humans
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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...
Liver Diet, High-Fat Oryza Random Allocation Animals Oxidative Stress Male Mice Blood Glucose Antioxidants Mice, Inbred C57BL
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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...
Diabetes Mellitus Blood Glucose Self-Monitoring Data Visualization Humans Machine Learning Algorithms Blood Glucose
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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
Humans Machine Learning Biomarkers Prognosis Alanine Transaminase Aspartate Aminotransferases Big Data Blood Glucose Female Diabetes Mellitus, Type 2 Risk Factors Cholesterol Male Risk Assessment
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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...
Humans Neural Networks, Computer Deep Learning Blood Glucose Insulin Diabetes Mellitus, Type 1
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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. ...
Datasets as Topic Glucose Intolerance Glycemic Control Health Status Indicators Diagnosis, Differential Predictive Value of Tests Data Interpretation, Statistical Blood Glucose Self-Monitoring Middle Aged Blood Glucose Reproducibility of Results Diabetes Mellitus, Type 2 Aged Support Vector Machine Adult Humans Male Algorithms Female
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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...
Hypoglycemic Agents Humans Insulin Infusion Systems Hypoglycemia Male Forecasting Supervised Machine Learning Retrospective Studies Blood Glucose Postprandial Period Female Insulin Diabetes Mellitus, Type 1
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