Organized in collaboration with the Intelligent Data Analysis and Data
Mining Working Group of the International Medical Informatics
Association, and
Knowledge Discovery & Data Mining working Group of the American
Medical
Informatics Association.

IMPORTANT DATES
Submission: August 1, 2010
Notification: September 1, 2010
Camera-ready: October 1, 2010


GENERAL INFORMATION

IDAMAP-2010, a colloquium on intelligent data analysis in biomedicine
and
pharmacology, will be held in conjunction with the 2010 Annual
Symposium
of the American Medical informatics Association.

The IDAMAP series is devoted to computational methods for data
analysis in medicine, biology and pharmacology that present results of
analysis in the form communicable to domain experts and that somehow
exploit knowledge of the problem domain. Such knowledge may be
available
at different stages of the data-analysis and model-building process.
Typical methods include data visualization, data exploration, machine
learning, and data mining.

Gathering in an informal setting, colloquium participants will have
the
opportunity to meet and discuss selected technical topics in an
atmosphere which fosters the active exchange of ideas among
researchers
and practitioners. The colloquium is intended to be a genuinely
interactive event and not a mini-conference, thus ample time will be
allotted for general discussion. A student challenge on data
integration
will be organized. Author of the best solution will be invited to
present
the work at the workshop.

A selection of revised and expanded IDAMAP 2010 papers will appear in
the Methods of Information in Medicine journal.


TOPICS

In the colloquium, the attention will be given to methodological
issues of
intelligent data analysis and on specific applications in biomedicine
and pharmacology. In terms of methodology, topics include, but are not
limited to:
- data mining and machine learning techniques for supervised and
unsupervised learning problems,
- exploiting domain knowledge in learning and data analysis,
- data visualization and exploration,
- analysis of large data sets and relational data mining,
- knowledge management and its integration with intelligent data
analysis techniques, and
- integration of intelligent data analysis techniques within
biomedical information systems.


A paper submitted to the colloquium is expected to show a selected
methodology can help to solve relevant problems in medicine, and would
typically address the following issues:
- What is the medical or clinical problem addressed?
- Was any prior knowledge available? How was this used in the
data analysis or interpretation of results?
- How is/can the newly discovered knowledge put into use?

Contributions that discuss particular applications of intelligent data
analysis techniques are invited, and can for example cover analysis of
medical and health-care data, data coming from clinical bioinformatics
data bases (like microarray data and DNA sequence analysis), analysis
of
pharmacological data, drug design, drug testing, and outcomes
analysis.


PROBLEM OWNERS

In addition to regular scientific contributions, we welcome
descriptions
of problems or data sets that could potentially benefit from an
analysis
through Intelligent Data Analysis or Data Mining. Problem descriptions
must be submitted as abstracts and will be presented at the workshop.
They must briefly introduce the problem and provide an overview of
the main objectives of the analysis. After the presentations, ample
time will be reserved for discussion.


DATA ANALYSIS TOOLS

We also invite developers of data analysis tools to send an abstract
with
the description of their tool, and give a demonstration during a
special
demo session on data analysis tools at the colloquium. The abstract
should
describe the underlying methodology of the tool and sketch the
potential for
application in the field of intelligent data analysis in biomedicine.
Preferably,
abstracts on data analysis tools should also briefly describe a case
study
where the tool was used.


PROGRAM

The scientific program of the colloquium will consist of presentations
of
accepted scientific papers, an invited presentation, and
demonstrations
of data analysis tools and problem descriptions. Ample time will be
allotted for informal
discussion among the participants.


SUBMISSION & PUBLICATION OF ACCEPTED PAPERS

IDAMAP invites submissions of either short papers (2 pages, up to 1500
words, leading to a short presentation at the meeting) or full papers
(up to 6 pages/4500 words, leading to a long presentation at the
meeting). Data analysis tools and description of problems should be
submitted as abstracts (1 page, up to 750 words). Papers should be
written in English. Authors should send an electronic submission in
PDF
format to both chairs Stephen Swift (stephen.swift@brunel.ac.uk), Kirk
T. Phillips (kirk-phillips@uiowa.edu);
please use "IDAMAP SUBMISSION YOUR_NAME" as a subject, where
YOUR_NAME is the surname of the first author. Alternatively to
preferred PDF, submissions using Post Script or MS Word format are
also welcome.

The submissions should be received no later than August 1, 2010.
Formatting
instructions and instructions for authors are available on the IDAMAP
2010
home page at http://idamap.org/idamap2010.

Submissions will be reviewed by at least two people of the program
committee. Authors will be notified of acceptance/rejection by
September 1, 2010.
Accepted papers will appear in colloquium notes that will be
distributed among registered participants.


JOURNAL PUBLICATION
Selected papers by contributors to IDAMAP 2010 will be invited to
submit a revised
and expanded version of their paper for publication in Schattauer’s
Methods of
Information in Medicine journal (www.methods-online.com).
Publication is scheduled for late 2010/early 2011.


REGISTRATION
Details on payment and registration will be posted shortly on the AMIA
and
IDAMAP 2010 pages.