AI Medical Compendium Journal:
Journal of diabetes science and technology

Showing 31 to 38 of 38 articles

Hypoglycemia prediction using machine learning models for patients with type 2 diabetes.

Journal of diabetes science and technology Oct 14, 2014
Minimizing the occurrence of hypoglycemia in patients with type 2 diabetes is a challenging task since these patients typically check only 1 to 2 self-monitored blood glucose (SMBG) readings per day. We trained a probabilistic model using machine lea...
Hypoglycemia Blood Glucose Self-Monitoring Sensitivity and Specificity Diabetes Mellitus, Type 2 Humans Prognosis Retrospective Studies Reproducibility of Results Machine Learning Algorithms Computer Simulation
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Creating a place for caregivers in personal health: the iHealthSpace copilot program and diabetes care.

Journal of diabetes science and technology Jan 1, 2011
BACKGROUND: As America's baby boom generation reaches retirement, the number of elders, and, in turn, the number of lay individuals who support them, will continue to increase. With the important services caregivers provide, it is critical that we re...
Personal Space Self-Help Groups Health Internet Personal Health Services Health Records, Personal Models, Biological Pilot Projects Health Services Needs and Demand User-Computer Interface Humans Caregivers Diabetes Mellitus Adult
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The Development and Potential Applications of an Automated Method for Detecting and Classifying Continuous Glucose Monitoring Patterns.

Journal of diabetes science and technology May 1, 2025
INTRODUCTION: Continuous glucose monitoring (CGM) is emerging as a transformative tool for helping people with diabetes self-manage their glucose and supporting clinicians in effective treatment. Unfortunately, many CGM users, and clinicians, find in...
Artificial Intelligence Female Male Humans Diabetes Mellitus Blood Glucose Self-Monitoring Continuous Glucose Monitoring Middle Aged Blood Glucose Diabetes Mellitus, Type 1
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Prediction of Hypoglycemia From Continuous Glucose Monitoring in Insulin-Treated Patients With Type 2 Diabetes Using Transfer Learning on Type 1 Diabetes Data: A Deep Transfer Learning Approach.

Journal of diabetes science and technology May 1, 2025
BACKGROUND: Hypoglycemia is common in insulin-treated type 2 diabetes (T2D) patients, which can lead to decreased quality of life or premature death. Deep learning models offer promise of accurate predictions, but data scarcity poses a challenge. Thi...
Adult Male Middle Aged Humans Neural Networks, Computer Female Hypoglycemic Agents Hypoglycemia Blood Glucose Self-Monitoring Continuous Glucose Monitoring Insulin Diabetes Mellitus, Type 2 Diabetes Mellitus, Type 1 Deep Learning Blood Glucose
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Intelligent Care Management for Diabetic Foot Ulcers: A Scoping Review of Computer Vision and Machine Learning Techniques and Applications.

Journal of diabetes science and technology May 1, 2025
Ten percent of adults in the United States have a diagnosis of diabetes and up to a third of these individuals will develop a diabetic foot ulcer (DFU) in their lifetime. Of those who develop a DFU, a fifth will ultimately require amputation with a m...
Diabetic Foot Humans Machine Learning
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Decision Support in Diabetes Care: The Challenge of Supporting Patients in Their Daily Living Using a Mobile Glucose Predictor.

Journal of diabetes science and technology Mar 1, 2018
BACKGROUND: In type 1 diabetes mellitus (T1DM), patients play an active role in their own care and need to have the knowledge to adapt decisions to their daily living conditions. Artificial intelligence applications can help people with type 1 diabet...
Neural Networks, Computer Female Adult Male Middle Aged Pilot Projects Humans Blood Glucose Self-Monitoring Blood Glucose Diabetes Mellitus, Type 1 Decision Support Systems, Clinical Telemedicine Cross-Over Studies
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Automatic Adaptation of Basal Insulin Using Sensor-Augmented Pump Therapy.

Journal of diabetes science and technology Mar 1, 2018
BACKGROUND: People with insulin-dependent diabetes rely on an intensified insulin regimen. Despite several guidelines, they are usually impractical and fall short in achieving optimal glycemic outcomes. In this work, a novel technique for automatic a...
Models, Theoretical Blood Glucose Self-Monitoring Insulin Infusion Systems Insulin Child Diabetes Mellitus, Type 1 Male Adolescent Humans Algorithms Artificial Intelligence Female Adult
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A Neural-Network-Based Approach to Personalize Insulin Bolus Calculation Using Continuous Glucose Monitoring.

Journal of diabetes science and technology Mar 1, 2018
BACKGROUND: In type 1 diabetes (T1D) therapy, the calculation of the meal insulin bolus is performed according to a standard formula (SF) exploiting carbohydrate intake, carbohydrate-to-insulin ratio, correction factor, insulin on board, and target g...
Hypoglycemic Agents Blood Glucose Self-Monitoring Datasets as Topic Insulin Diabetes Mellitus, Type 1 Humans Neural Networks, Computer Blood Glucose
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