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Lorraine Goeuriot <[log in to unmask]>
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Lorraine Goeuriot <[log in to unmask]>
Tue, 29 Apr 2014 08:27:29 +0100
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Medical Information Retrieval (MedIR) Workshop

At SIGIR 2014, July 11 2014, Gold Coast, Australia
Call for Papers (2 & 4 page)

Submission deadline: **May 5**

Medical information search refers to methodologies and technologies that
seek to improve access to medical information archives via a process of
information retrieval (IR). Such information is now potentially accessible
from many sources including the general web, social media, journal
articles, and hospital records.

Medical information is of interest to a wide variety of users, including
patients and their families, researchers, general practitioners and
clinicians, and practitioners with specific expertise such as radiologists.
Despite the popularity of the medical domain for users of search engines,
and current interest in this topic within the information retrieval
research community, development of search and access technologies remains
particularly challenging. One of the central issues in medical information
search is diversity of the users of these services. In particular, they
will have varying categories of information needs, varying levels of
medical knowledge, and varying language skills. In addition, the format,
reliability, and quality of biomedical and medical information varies
greatly. A single health record can contain clinical notes, technical
pathology data, images, and patient-contributed histories, and may be
linked by a physician to research papers. The importance of health and
medical topics and their impact on people’s everyday lives makes the need
for retrieval of accurate and reliable information especially important.
Determining the likely reliability of available information is challenging.
Finally, as with information retrieval in general, the evaluation of
medical search tools is vital and challenging.  For example, there are no
established or standardized baselines or evaluation metrics, and limited
availability of test collections.

This workshop aims to bring together researchers interested in medical
information search with the goal of identifying specific research
challenges that need to be addressed to advance the state-of-the-art and to
foster interdisciplinary collaborations towards the meeting of these
challenges. To enable this, we encourage participation from researchers in
all fields related to medical information search including mainstream
information retrieval, but also natural language processing, multilingual
text processing, and medical image analysis.

Topics of interest include but are not limited to:


   Users and information needs

   Semantics and NLP for medical IR

   Reliability and trust in medical IR

   Personalised search

   Evaluation of medical IR

   Multilingual issues in medical IR

   Multimedia technologies in medical IR

   The role of social media in medical IR

Paper Submissions

The workshop is now accepting paper submissions. Short papers (4 pages) and
short position papers (2 pages) describing approaches or ideas / challenges
on the topics of the workshop are invited. Submissions should be in ACM
SIGS format. LaTeX and Word templates are available
LaTeX, use the "Option 2" style).

Papers should be anonymised for double blind review and submitted in pdf
format through the EasyChair system no later than
midnight Pacific Daylight Time on April 28, 2014. Submissions will be
reviewed by members of the workshop program committee. Accepted papers will
be included in the SIGIR 2014 Medical Information Search Workshop
Important Dates

April 28, 2014: Deadline for paper submission (midnight Pacific Daylight
May 10, 2014: Notification to authors
May 17, 2014: Camera-ready papers due
July 11, 2014: Workshop
Further Information

Further information is available on the workshop website at or by emailing the workshop organisers.
Workshop Organisers

Lorraine Goeuriot, Dublin City University, Ireland

Gareth J.F. Jones, Dublin City University, Ireland

Liadh Kelly, Dublin City University, Ireland

Henning Müller, University of Applied Sciences Western Switzerland

Justin Zobel, University of Melbourne, Australia

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