Intelligent agents and healthcare have been intimately linked in the last years. The intrinsic
complexity and diversity of care can be tackled with the flexibility, dynamics and reliability of …

There is a growing emphasis to find alternative non‐traditional ways to manage patients to
ease the burden on health care services largely fuelled by a growing demand from sections …

Estimation of the semantic likeness between words is of great importance in many
applications dealing with textual data such as natural language processing, knowledge …

The number of people with a chronic disease is rapidly increasing, giving the healthcare
industry more challenging problems. To date, there exist several ontology and IoT-based …

Chronically ill patients are complex health care cases that require the coordinated
interaction of multiple professionals. A correct intervention of these sort of patients entails the …

The advent of novel industry 4.0-driven technologies is offering significant opportunities to
manufacturing systems, but at the same time it is posing new great challenges. The growing …

Continuous care models for chronic diseases pose several technology-oriented challenges
for home-based care, where assistance services rely on a close collaboration among …

Background and objective Healthcare systems deal with multiple challenges in releasing
information from data silos, finding it almost impossible to be implemented, maintained and …

Web search engines (WSEs) are basic tools for finding and accessing data in the Internet.
However, they also put the privacy of their users at risk. This happens because users …

Background Decision support in health systems is a highly difficult task, due to the inherent
complexity of the process and structures involved. Method This paper introduces a new …