* Workshop Description *
The amount of Social Media Data dealing with medical and health issues increased significantly in the last couple of years. Medical Social Media Data now provides a new source of information within information gaining contexts. Facts, experiences, opinions or information on behaviour can be found in the Medicine 2.0 and could support a broad range of applications. Health organizations monitor online news repositories and web pages for relevant data on epidemiological events. Physicians learn about the experiences of their colleagues provided through social media platforms: such as weblogs, or fo-rums. Moreover, patients can search for information or experiences of others which can lead to patient empowerment.
This workshop is devoted to the technologies for dealing with social- and multi media for medical information gathering and exchange. This specific data and the processes of information gathering poses many challenges given the increasing content on the Web and the trade off of filtering noise at the cost of losing information which is potentially relevant. These issues are compounded by their im-pact on both information producers and consumers in the health care community.


* Topics *
The workshop theme and topics are reflecting the latest discussion in that upcoming field and compri-se the analysis of medical social media data and multi media data, including event detection and in-formation extraction in this field. Even though it would be very useful, personalization techniques are still not integrated or only implemented to a limited extent in medical applications. Evaluation of implemented medical applications working with Medical Web data is still a problem due to missing an-notated data sets and gold standards. This workshop is intended to encourage researchers thinking also into this direction.
• Analysis of medical social media data
• Analysis of medical multi media data
• Event Detection and information extraction in medical social/multi- media
• Personalization in medical applications
• Evaluation in medical web applications