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

Diabetes mellitus refers to a group of metabolic disorders which affect how the body uses
glucose impacting approximately 9% of the population worldwide. This review covers the …

Wearable continuous glucose monitoring (CGM) sensors are revolutionizing the treatment of
type 1 diabetes (T1D). These sensors provide in real-time, every 1–5 min, the current blood …

Objectives: This survey analyses the latest literature contributions to clinical decision support
systems (DSSs) on a two-year period (2017-2018), focusing on the approaches that adopt …

Fog computing has emerged as a complementary solution to address the issues faced in
cloud computing. While fog computing allows us to better handle time/delay-sensitive …

Objectives Emergency department overcrowding could be improved by upstream telephone
triage. Emergency telephone triage aims at managing and orientating adequately patients …

This study examined correlations between continuous glucose monitoring (CGM)-based
composite metrics and standard glucose metrics within CGM data sets from individuals with …

The paper presents a conceptual framework for building practically applicable clinical
decision support systems (CDSSs) using data-driven (DD) predictive modelling. With the …

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 …

In continuous subcutaneous insulin infusion and multiple daily injections, insulin boluses
are usually calculated based on patient-specific parameters, such as carbohydrates-to …