MedEx 2011 - 2nd International Workshop on Web Science and Information Exchange in the Medical Web (MedEx 2011)

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 gain-ing 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 forums. Moreover, patients can search for information or experiences of others which can lead to patient empowerment.
http://meco-project.eu/medex2011
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 chal-lenges 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 impact on both information producers and consumers in the health care community.

Important Dates

July 8, 2011: Deadline for the submission of papers.
July 30, 2011: Notification of acceptance/rejection.
August 12, 2011: Workshop camera ready submission.
October 28, 2011: Workshop Day
Topics

The workshop theme and topics are reflecting the latest discussion in that upcoming field and comprise the analysis of medical social media data and multi media data, including event detection and information 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 annotated data sets and gold standards. This workshop is intended to encourage researchers thinking also into this direction.

Analysis of medical social media data
Ways and means of analysing large-scale medical web data
Criteria and methods to determine the quality of health content
Multilingual issues in health-related Web content
Processing streams of social media data
Analysis of medical multi media data
Classifying medical media content (e.g., TV, Radio, YouTube)
Processing of medical media data
Event Detection and information extraction in medical social/multi- media
Event extraction from medical texts
Identification of relationship between events
Personalization in medical applications
Personalized biosurveillance
Personalized e-Health solutions
User models for health care applications
Evaluation in medical web applications
Quality of processing of medical social/multi- media data
Methods for improving medical intelligence sensitivity and specificity
Medical intelligence false alarm mitigation
Submissions

Prospective authors are invited to submit original technical papers of no more than 8 pages in the ACM SIG Proceedings templates format (http://www.acm.org/sigs/publications/proceedings-t...). Paper should be submitted electronically in PDF format. Papers will be peer-reviewed by at least 3 members of the program committee. Selection will be based on originality, clarity, and technical quality. Accepted papers will be published as part of the CIKM workshop proceedings on CD, and online in ACM digital library. Prospective authors are expected to present their papers at the workshop. Selected papers of the workshop will be published in a special issue of a journal.
Submission is now open at EasyChair: http://www.easychair.org/conferences/?conf=medex20...

Programme Committee

Pavel Smrz, Brno University of Technology, Czech Republic
Natasha Noy, Stanford University, USA
Richi Nayak, Queensland University of Technology, Australia
Jens Linge, Joint Research Center, Italy
Wolfgang Nejdl, L3S Research Center, Germany
Annette Hulth, Swedish Institute for Infectious Disease Control, Sweden
Nigam Shah, Stanford University, USA
Clement Jonquet, Montpellier Laboratory of Informatics, Robotics, and Microelectronics, France
Ben Hachey, Capital Markets Cooperative Research Centre, Australia
Contact

Kerstin Denecke denecke [AT] L3S.de