Social data and medical data analytics special track

IEEE Computer-Based Medical Systems 2019 (CBMS 2019)

IMIBIC (Instituto Maimónides de Investigación Biomédica de Córdoba) of Córdoba, Spain, June 5-7, 2019

Special Track on Social data and medical data analytics

The growing availability and accessibility of key health-related data resources and the rapid proliferation of technological developments in data analytics are supposing a revolution in health care. The power of these datasets allows improving diagnosis, shortening drugs’ time to market, helping in early outbreak detection, improving education of healthcare professionals and reducing costs to name but a few.

Extracting the knowledge to make this a reality is still a daunting endeavour: on the one hand, data sources are not integrated, they contain private information and are not structured. On the other hand, we still lack context- and privacy-aware algorithms to extract the knowledge after a proper curation and enrichment of the datasets.

Technology in recent years has made it possible not only to get data from the healthcare environment (hospitals, health centres, laboratories, etc.). It also allows information to be obtained from society itself (sensors, monitoring, Internet of Things (IoT) devices, social networks, etc.). In particular, social environments are a new source of data that allows information to be obtained at all community levels.

Health environments would benefit directly through the acquisition and the analysis of the information generated in any kind of social environment such as social networks, forums, chats, social sensors, Internet of Things (IoT) devices, surveillance systems, virtual worlds, to name but a few. These environments provide an incredible and rich amount of information that could be analysed and applied to the benefit of public health, allowing improving the quality of life of the population as well as reducing economic costs. Policymakers, researchers, health professionals and managers are still attempting, with limited success, to acquire health information upon which to base their decisions.

The topics to be covered include, but are not limited to: