meco-project.eu

The Second International Workshop on Web Science

and Information Exchange in the Medical Web (MedEX 2011)

October 28, Glasgow, UK,

co-located with the 20th ACM Conference on Information and Knowledge Management 2011

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 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.

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.

Proceedings

The full papers are published as part of the CIKM workshop proceedings by ACM. The position papers are pubilshed separately in the proceedings to be downloaded here.

Program

9.00-9.50am Keynote

Enabling collaboration and sharing in clinical natural language processing (Wendy Chapman) Slides

9.50-10.30am Session (Chair: Kerstin Denecke)

- Multi-class classification for online personal healthcare messages (Yunliang Jiang, Xide Lin and Bruce Schatz) Slides

- Generating Links to Background Knowledge for Medical Content (Jiyin He, Maarten De Rijke and Merlijn Sevenster)

10.30-11.00am Coffee Break

11.00-12.30am Session (Chair: Sophia Ananiadou)

- Applicability of Recommender Systems to Medical Surveillance Systems (Ricardo Lage, Frederico Durao, Peter Dolog and Avaré Stewart)Slides

- Finding Indicators of Epidemiological Events by Analyzing Messages from Twitter and Other Social Media (Pavel Smrz and Lubomir Otrusina) Slides

- Health Web Science: Application of Web Science to the Area of Health Education and Health Care (Elizabeth Brooks, Grant P Cumming, Joanne S Luciano) Slides

12.30-14.00am Lunch Break

14.00-14.50am Keynote

Advances of biomedical text mining for semantic search (Sophia Ananiadou)

14.50-15.30am Session

- Drug Side-Effects: What Do Patient Forums Reveal? (Sarvnaz Karimi, Su Nam Kim and Lawrence Cavedon) Slides

- Challenges in Automatic Diagnosis Extraction from Medical Examination Summaries (Johannes Starlinger, Bernd Schmeck and Ulf Leser) Slides

Submissions

We invite authors to submit short research papers, or position papers of no more than 2 pages in the ACM SIG Proceedings templates format (http://www.acm.org/sigs/publications/proceedings-templates). Papers should be submitted electronically in PDF format (http://www.easychair.org/conferences/?conf=medex2011). They 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 a volume of CEUR Workshop proceedings.

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.

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

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