2.CFP: IDAMAP 99 - Workshop: Intelligent Data Analysis in

Silvia Miksch (silvia@ifs.tuwien.ac.at)
Tue, 15 Jun 1999 19:23:32 +0200 (MET DST)

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------------------------------- 2. CFP --------------------------------
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Second Call for Papers for the workshop

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*** Workshop: ***
*** Intelligent Data Analysis in Medicine and Pharmacology ***
*** (IDAMAP 99) ***
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Saturday, November 6, 1999
Washington, DC, USA

during the
AMIA 1999 Annual Symposium
November 6-10, 1999 in Washington, DC, USA

(homepage of IDAMAP 99
http://www.ifs.tuwien.ac.at/~silvia/idamap99/
(homepage of AMIA 1999
http://www.amia.org/meetings/f99/call/cover.htm)

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Important dates

* Submission deadline: July 26, 1999
* Notification to authors: September 6, 1999
* Camera-ready paper: October 11, 1999
* Conference: November 6-10, 1999
* Workshop: Saturday, November 6, 1999

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GENERAL INFORMATION:
-------------------

IDAMAP-99 is a Workshop at the AMIA 1999 Annual Symposium - November 6-10,
1999 - Washington, DC prior to the start of the main AMIA conference.

Gathering in an informal setting, workshop 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. To encourage interaction and a broad exchange of ideas, the
workshop will be kept small, preferably under 30 active participants,
although registered AMIA 99 Fall Symposium members are welcome to attend.
The workshop is intended to be a genuinely interactive event and not a
mini-conference, thus ample time will be allotted for general discussion.
The workshop will last a half-day.

This is the fourth workshop on Intelligent Data Analysis in Medicine and
Pharmacology (IDAMAP). The former IDAMAP Workshops were held in Budapest in
1996, in Nagoya in 1997, and in Brighton in 1998.

WORKSHOP TOPICS:
-----------------
In all human activities, automatic data collection pushes towards the
development of tools able to handle and analyze data in a
computer-supported fashion. In the majority of the application areas, this
task cannot be accomplished without using the available knowledge on the
domain or on the data analysis process. This need becomes essential in
biomedical applications, since medical decision-making needs to be
supported by arguments based on basic medical and pharmacological knowledge.

The topics of the workshop are computational methods for data analysis able
to exploit the available knowledge to narrow the gap between data gathering
and data comprehension, as well as their applications in medicine and
pharmacology. Expert physicians should be included in the preparation of
data for IDA process (e.g., data representation, modeling, cleaning,
selection, and transformation), as well as in the interpretation and
exploitation of results and their (potential) impact on medical practice.

Topics include, but are not limited to:

* effective data mining techniques:
machine learning tools, clustering, etc.
* temporal reasoning:
applications of IDA in patient monitoring or bio-signal processing,
interpretation of time-ordered data (derivation and revision of
temporal trends and other forms of temporal data abstraction),
* information visualization:
visualization of medical data and visualization of IDA's results,
* case-based reasoning,
* construction of decision models to support medical decision making,
* discovery of new diseases and new drug compounds,
* pharmacodynamical modeling,
* predicting drug activity, etc.

Emphasis will also be given to solving of problems, which result from
automated data collection in modern hospitals, such as analysis of
computer-based patient records (CPR), data warehousing tools, intelligent
alarming, effective and efficient monitoring, etc.

In particular, we will ask the participants to address the following points:

- what kind of knowledge they have used and/or extracted;
- why they need to exploit the available prior knowledge in their problem;
- how they have represented the available knowledge;
- how they plan to use / have used the derived knowledge.

SUBMISSION OF PAPERS:
---------------------

The workshop invites submission of long and short papers written in English
to the workshop chair, Yuval Shahar (email: shahar@smi.stanford.edu),
preferably in electronic format (pdf or postscript) no later than ** July
26, 1999 **. The length of long papers is of about 5000 words (10 pages)
and length of short papers is about 1500 words (3 pages).

Authors will be notified of acceptance by September 6, 1999.
Papers will appear as separate workshop notes.

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SUBMISSION ADDRESS:
-------------------
Yuval Shahar
Stanford Medical Informatics
Medical School Office Building x215
251 Campus Drive
Stanford University
Stanford, CA 94305-5479
email: shahar@smi.stanford.edu

SCIENTIFIC PROGRAM:
------------------
The scientific program of the workshop will consist of presentations of
accepted papers and panel discussions. Papers are invited both on
methodological issues of intelligent data analysis as well as on specific
applications in medicine and pharmacology. Panel discussions will be
organized into two phases: the first one will be devoted to identify
clusters of basic approaches presented to intelligently analyze data, the
second one will deal on discussions initialized by participants.

PROGRAM COMMITTEE:
--------------------

Sarabjot Anand, University of Ulster, Northern Ireland
Steen Andreassen, Aalborg University, Denmark
Lars Asker, Stockholm University, Sweden
Riccardo Bellazzi, University of Pavia, Italy
Werner Horn, Austrian Research Institute for AI, Austria
Elpida Keravnou, University of Cyprus, Cyprus
Cristiana Larizza, University of Pavia, Italy
Nada Lavrac, J. Stefan Institute, Slovenia
Xiaohui Liu, Birkbeck College, University of London, U.K.
Silvia Miksch, Vienna University of Technology, Austria (co-chair)
Christian Popow, University of Vienna, Austria
Yuval Shahar, Stanford University, CA, USA (chair)
Blaz Zupan, J. Stefan Institute, Slovenia

WORKSHOP REGISTRATION:
----------------------
No extra registration. All registered AMIA 99 Fall Symposium members are
welcome to attend.

***************************************************************
********** NEW Phone-number: +43-1-58801-18824 ************
********** NEW Fax-number: +43-1-58801-18899 ************
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Silvia Miksch silvia@ifs.tuwien.ac.at
Vienna University of Technology http://www.ifs.tuwien.ac.at/
Department of Computer Science
Institute of Software Technology (IFS) +43-1-58801-18824
Resselgasse 3/188 +43-1-58801-18801 (phone-sec)
A-1040 Vienna, Austria, Europe +43-1-58801-18899 (fax)
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