Public health is an interdisciplinary field encompassing a wide range of subject areas (medicine, science, epidemiology, public and social affairs, etc.). The growing availability and accessibility of key health-related data resources and the rapid proliferation of technological developments in data analytics is helping to extract the power of these datasets to improve diagnosis, shorten the time to market of drugs, help in early outbreak detection, improve education of healthcare professionals and reduce costs to name but a few.
Extracting the knowledge to make this a reality is still a daunting task: 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 (from physicians to patients).
User Name : Claude
Posted 08-09-2016 on 08:57:44 AEDT