AIMC Topic: Diabetes Mellitus
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Friendship with a robot: Children's perception of similarity between a robot's physical and virtual embodiment that supports diabetes self-management.
Patient education and counseling
Feb 21, 2018
OBJECTIVE: The PAL project develops a conversational agent with a physical (robot) and virtual (avatar) embodiment to support diabetes self-management of children ubiquitously. This paper assesses 1) the effect of perceived similarity between robot a...
Predictive Models Control of the Artificial Pancreas: Compartmental or Neural Networks Models?
Artificial organs
Feb 20, 2018
Reactive balance control in older adults with diabetes.
Gait & posture
Dec 30, 2017
Diabetes mellitus is a major health problem for older adults worldwide and could be associated with impaired ability to recover balance after postural disturbances. This study compared reactive balance control in three groups of adults, young (YA), h...
Aging and decreased glomerular filtration rate: An elderly population-based study.
PloS one
Dec 19, 2017
BACKGROUND: Although a reduced glomerular filtration rate (GFR) in old people has been attributed to physiologic aging, it may be associated with kidney disease or superimposed comorbidities. This study aims to assess the prevalence of decreased GFR ...
Development of a Reinforcement Learning-based Evolutionary Fuzzy Rule-Based System for diabetes diagnosis.
Computers in biology and medicine
Oct 31, 2017
The early diagnosis of disease is critical to preventing the occurrence of severe complications. Diabetes is a serious health problem. A variety of methods have been developed for diagnosing diabetes. The majority of these methods have been developed...
Real-Time Non-Invasive Detection and Classification of Diabetes Using Modified Convolution Neural Network.
IEEE journal of biomedical and health informatics
Sep 28, 2017
Non-invasive diabetes prediction has been gaining prominence over the last decade. Among many human serums evaluated, human breath emerges as a promising option with acetone levels in breath exhibiting a good correlation to blood glucose levels. Such...
Special section on artificial intelligence for diabetes.
Artificial intelligence in medicine
Sep 22, 2017
Comparative approaches for classification of diabetes mellitus data: Machine learning paradigm.
Computer methods and programs in biomedicine
Sep 8, 2017
BACKGROUND AND OBJECTIVE: Diabetes is a silent killer. The main cause of this disease is the presence of excessive amounts of metabolites such as glucose. There were about 387 million diabetic people all over the world in 2014. The financial burden o...
An Ensemble Multilabel Classification for Disease Risk Prediction.
Journal of healthcare engineering
Jun 15, 2017
It is important to identify and prevent disease risk as early as possible through regular physical examinations. We formulate the disease risk prediction into a multilabel classification problem. A novel Ensemble Label Power-set Pruned datasets Joint...
Artificial Intelligence Methodologies and Their Application to Diabetes.
Journal of diabetes science and technology
May 25, 2017
In the past decade diabetes management has been transformed by the addition of continuous glucose monitoring and insulin pump data. More recently, a wide variety of functions and physiologic variables, such as heart rate, hours of sleep, number of st...
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