Currently the mobile technologies in general as well as sensors and other
devices enable collecting and communicating a vast amount of data of
individuals. This multi-parametric data may include physiological
measurements, genetic data, medical images, laboratory examinations, and
other measurements related to a person's activity, lifestyle, and
surrounding environment. There will be increased demand on processing and
interpreting such data for accurate alerting and signalling of risks and
for supporting healthcare professionals in their decision making,
informing family members, and the person himself/herself.
With these facts in mind we can distinguish three large groups of
applications and levels of systems. The first group contains systems we
call recommendation and suggestion systems, which are systems we can find,
for example, in the area of well-being and fitness, and which serve mainly
for informing the clients about their health status. The second group
-decision support systems- should serve as guidance for
professionals and experienced users, like activy athletes. The third group
-decision making systems- are systems that are directly
linked with actuator part influencing patient health.
Deadline for contributions is 20 December 2012.