Background Artificial intelligence methods in combination with the latest technologies,
including medical devices, mobile computing, and sensor technologies, have the potential to …

For many disease states, positive outcomes are directly linked to early diagnosis, where
therapeutic intervention would be most effective. Recently, trends in disease diagnosis have …

Background Diabetes mellitus is a chronic metabolic disorder that results in abnormal blood
glucose (BG) regulations. The BG level is preferably maintained close to normality through …

The use by diabetes patients of real-time continuous interstitial glucose monitoring (CGM) or
the FreeStyle Libre®(FSL) flash glucose monitoring (FGM) system is becoming widespread …

Aims The DIALYDIAB trial addresses the contribution of iterative sequences of continuous
glucose monitoring (CGM) on glucose control in dialysis patients with diabetes. Materials …

Study Objectives: The purpose of this study was to describe objective sleep-wake
characteristics and glycemia over 7–14 days in young adults with type 1 diabetes. In …

Feature selection is critical for effective analysis of data and resource savings. In multi-
dimensional datasets, feature selection methods mainly use filter based approach to obtain …

The problem of analyzing and identifying regions of high discrimination between alcoholics
and controls in a multichannel electroencephalogram (EEG) signal is modeled as a feature …

We investigated the effect of specific surface area on the electrochemical properties of
NiCo2O4 (NCO) for glucose detection. NCO nanomaterials with controlled specific surface …

Background: Hypoglycemia is a potentially fatal condition. Continuous glucose monitoring
(CGM) has the potential to detect hypoglycemia in real time and thereby reduce time in …