The First International Workshop on 

Web Science and Information Exchange in the Medical Web (MedEx 2010)  

collocated with the 19th World Wide Web Conference WWW-2010
26-30 April 2010:
Raleigh Conference Center, Raleigh, NC, USA

 

 

Objectives

The advent of Medicine 2.0 is increasingly making the Web a more accepted source of information for the medical domain and is also exploited for discussing medical problems and treatments. 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 not only search for information, but also provide information about their experiences. This workshop is devoted to the technologies for dealing with social- and multi media for medical information gathering and exchange.

Information gathering from medical social- and multimedia 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 impact on both information producers and consumers in the health care community.

 

 

 

Top

Call for papers

The aim of the workshop is to encourage researchers from the medical web science community to present novel issues and techniques related to medical intelligence (especially in the context of web science). This workshop is intended to address different aspects related to the problem of accessing, exchanging, processing, filtering and making applications that rely upon health related Web information more reliable and adaptable. The workshop will serve as a forum for the confluence of new and multidisciplinary ideas that will help to drive research in the areas of medical web text and data mining.

Topics of interest include but are not limited to:

  • Analysis of medical social media data
    1. Ways and means of analysing large-scale medical web data
    2. Criteria and methods to determine the quality of health content
    3. Multilingual issues in health-related Web content

 

  • Analysis of medical multi media data
    1. Classification of online medical media content (e.g., TV, radio, YouTube)
    2. Processing of medical media data

 

  • Event Detection and information extraction in medical social/multi- media
    1. Event extraction from medical texts
    2. Identification of relationship between events

 

  • Personalization in medical applications
    1. Personalized Biosurveillance
    2. Personalized e-Health solutions
    3. User models for health care applications

 

  • Evaluation in medical web applications
    1. Quality of processing of medical social/multi- media data
    2. Methods for improving  medical intelligence sensitivity and specificity
    3. Medical intelligence false alarm mitigation

 

 

 

Top

Proceedings

Kerstin Denecke, Peter Dolog, Pavel Smrz, Jens Linge, Wolfgang Nejdl, Avaré Stewart: Using Web Data in the Medical Domain. Proceedings of the First International Workshop on Web Science and Information Exchange in the Medical Web, MedEx 2010 Raleigh, NC, USA, April 26, 2010, CEUR-WS.org, online CEUR-WS/Vol-572/ http://ftp.informatik.rwth-aachen.de/Publications/CEUR-WS/Vol-572/

 

 

 

Top

Accepted papers

·         Sam Stewart, Allen Finley and Syed Sibte Raza Abidi. Linking Specialized Online Medical Discussions to Online Medical Literature

·         Sebastian Klenk, Jürgen Dippon, Peter Fritz and Gunther Heidemann. Determining Patient Similarity in Medical Social Networks

·         Avaré Stewart and Kerstin Denecke. Can ProMED-mail Bootstrap Blogs? Automatic Labeling of Victim-reporting Sentences

·         Frankie Dolan and Nancy Shepherd. The Importance of RSS in the Exchange of Medical Information

·         Svitlana Volkova, Doina Caragea, William Hsu and Swathi Bujuru. Animal Disease Event Recognition and Classification

·         Karunakar Reddy Bayyapu and Peter Dolog. Tag and Neighbour Based Recommender System for Medical Events

 

 

 

Top

Program

 

2pm – 2.45pm

Keynote: Prof. Wendy Hall

2.45 – 3.05 pm

Determining Patient Similarity in Medical Social Networks

3.05 - 3.25 pm

Tag and Neighbour Based Recommender System for Medical Events

3.25 – 3.55 pm

Coffee Break

3.55 – 4.15 pm

Can ProMED-mail Bootstrap Blogs? Automatic Labeling of Victim-reporting Sentences

4.15 – 4.35 pm

Linking Specialized Online Medical Discussions to Online Medical Literature

4.35 – 4.55 pm

The Importance of RSS in the Exchange of Medical Information

4.55 – 5.25 pm

Animal Disease Event Recognition and Classification

 

 

 

Top

Organization

 

Organizing Committee:

  • Kerstin Denecke (Workshop Co-Chair)
    L3S Research Center, Germany
    E-mail: denecke [at] L3S [dot] de
  • Peter Dolog (Workshop Co-Chair)
    Aalborg University, Denmark
    E-mail:
    dolog [at] cs [dot] aau [dot] dk
  • Pavel Smrz
    Brno University
    of Technology, Czech Republic
  • Jens Linge
    Joint Research Center
    , Italy
  • Wolfgang Nejdl
    L3S Research Center and Knowledge Based System Department, Leibniz University Hannover, Germany
  • Avaré Stewart
    L3S Research Center, Germany

Technical Program Committee:  

·          Pavel Smrz, Brno University of Technology, Czech Republic

·          Natasha Noy, Stanford University, USA

·          Nigam Shah, Stanford University, USA

·          Wolfgang Nejdl, L3S Research Center, Germany

·          Wendy Hall, University of Southhampton, UK

·        Jens Linge, Joint Research Center, Italy

·        Ralph Grisham, New York University, USA

·          Jim Warren, University of Auckland, New Zealand

·        Jon Patrick, University of Sydney, Australia

·        Clement Jonquet, Stanford University, USA

·         Benjamin Hachey, Macquarie University, USA

·        Marc A. Musen, Stanford Center for Biomedical Informatics Research, USA

 

Acknowledgements:

We appreciate support from the FP7 STREP European Project M-Eco – Personalized Event-based surveillance. (partly funded under 247829).

 

 

:: Last Update: 26 April 2010 ::

Top