The prevalence of diabetes is rising globally. Diabetes patients need continuous monitoring,
and to achieve this objective, they have to be engaged in their healthcare management …

Background Treatment of type 2 diabetes mellitus (T2DM) is a complex problem. A clinical
decision support system (CDSS) based on massive and distributed electronic health record …

Chronic disease is a persistent clinical condition that causes significant limitation in a
patient's life, due to ill-health and degradation events which may happen frequently …

Featured Application The main application of the developed solution lies in the area of
systems design, where model-to-model transformations are being utilized to their full extent …

Background: Diabetes needs to be under control through management and intervention.
Management of diabetes through mobile health is a practical approach; however, most …

Over the last two decades, the complexity and scale of computer systems radically
increased. This is caused, mainly, by the proliferation of data to be processed, and the …

This article presents a Blockchain-based data-sharing approach that offers reliability,
integrity, and decentralization properties of Blockchain, making the system user-controllable …

Semantic interoperability among different systems and platforms in the Internet of Things
(IoT) represents a major challenge with an inherent high complexity, but its application can …

Healthcare is a challenging field. The solution is not to provide the most accurate data
science models at whatever price. There is a need for creating medical evidence, but there …

Computational ontologies are a new type of emerging scientific media (Smith, 2016) that
process large quantities of heterogeneous data about portions of reality. Applied …