AIMC Topic: Diabetes Mellitus, Type 1
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An artificial intelligence-based deep learning algorithm for the diagnosis of diabetic neuropathy using corneal confocal microscopy: a development and validation study.
Diabetologia
Nov 12, 2019
AIMS/HYPOTHESIS: Corneal confocal microscopy is a rapid non-invasive ophthalmic imaging technique that identifies peripheral and central neurodegenerative disease. Quantification of corneal sub-basal nerve plexus morphology, however, requires either ...
Utility of Big Data in Predicting Short-Term Blood Glucose Levels in Type 1 Diabetes Mellitus Through Machine Learning Techniques.
Sensors (Basel, Switzerland)
Oct 16, 2019
Machine learning techniques combined with wearable electronics can deliver accurate short-term blood glucose level prediction models. These models can learn personalized glucose-insulin dynamics based on the sensor data collected by monitoring severa...
Predicting Quality of Overnight Glycaemic Control in Type 1 Diabetes Using Binary Classifiers.
IEEE journal of biomedical and health informatics
Sep 13, 2019
In type 1 diabetes management, maintaining nocturnal blood glucose within target range can be challenging. Although semi-automatic systems to modulate insulin pump delivery, such as low-glucose insulin suspension and the artificial pancreas, are star...
Electroencephalogram Spectral Moments for the Detection of Nocturnal Hypoglycemia.
IEEE journal of biomedical and health informatics
Jul 29, 2019
Hypoglycemia or low blood glucose is the most feared complication of insulin treatment of diabetes. For people with diabetes, the mismatch between the insulin therapy and the body's physiology could increase the risk of hypoglycemia. Nocturnal hypogl...
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...
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...
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...
Adult
Sensitivity and Specificity
Male
Middle Aged
Blood Glucose
Insulin
Diabetes Mellitus, Type 1
Hypoglycemic Agents
Computer Simulation
Retrospective Studies
Female
Reproducibility of Results
Humans
Machine Learning
Algorithms
Capillaries
Blood Glucose Self-Monitoring
Bayes Theorem
False Positive Reactions
Hypoglycemia
Normal Distribution
Postprandial Period
Insulin Infusion Systems
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...
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.
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