PURPOSE: The agent-oriented paradigm has emerged as a viable approach for the
development of autonomic systems in the healthcare domain. This paper reviews …

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 …

Production lines in pharmaceutical manufacturing generate numerous heterogeneous data
sets from various embedded systems which control the multiple processes of medicine …

Justification Automatic brain tumor classification by MRS has been under development for
more than a decade. Nonetheless, to our knowledge, there are no published evaluations of …

One of the most important lifestyle risk factors for many chronic conditions in the older age,
low physical activity has shown to have significant impact on the sustainability of national …

Background Analytic measurement of serum tumour markers is one of commonly used
methods for cancer risk management in certain areas of the world (eg Taiwan). Recently …

We explore some recurring socio-technical problems encountered in the development of
infrastructure for sharing and re-using data across sites and social scales for eHealth …

Purpose Differentiation of glioblastomas from metastases is clinical important, but may be
difficult even for expert observers. To investigate the contribution of machine learning …

In some countries the domain of medical care is characterized by difficulty, dynamism and
diversity. In the 21st century healthcare represents different challenges (increasing cost of …

Smart mobile devices have fostered new interaction scenarios that demand sophisticated
interfaces. The main developers of operating systems for such devices provide APIs for …