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Subject:
From:
Lorraine Goeuriot <[log in to unmask]>
Reply To:
Lorraine Goeuriot <[log in to unmask]>
Date:
Mon, 17 Nov 2014 10:00:36 +0100
Content-Type:
text/plain
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Call for Papers - Information Retrieval Special Issue on Medical 
Information Retrieval
====================================================================

Editors: Dr Lorraine Goeuriot, Dr Gareth J.F. Jones, Dr Liadh Kelly, Pr 
Henning Mueller, Pr Justin Zobel

Submission deadline: December 15

--------------------------------

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.
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:
Papers should be appropriate for journal publication. Submissions should 
follow the guidelines set out by the Information Retrieval journal 
(under the section “Instructions for authors).
Submissions to the Special Issue are received via the 
http://www.editorialmanager.com/inrt/ website, by choosing the "S.I. : 
Medical Information Retrieval”

All papers submitted to the special issue will be reviewed by at least 3 
reviewers. Papers will appear online on the Springer journal website 
soon after they are accepted.

--------------------------------

Important Dates:
- December 15, 2014: Deadline for paper submission (midnight Pacific 
Daylight Time)
- March 1, 2015: Notification to authors
- May 15, 2015: Camera-ready papers due

--------------------------------

Contact:
Dr Lorraine Goeuriot ([log in to unmask] 
<mailto:[log in to unmask]>) and Dr Liadh Kelly 
([log in to unmask] <mailto:[log in to unmask]>)

-- 
Lorraine Goeuriot, PhD
Assistant Professor, Université Joseph Fourier
http://www.computing.dcu.ie/~lgoeuriot/


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