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DM: 2.CFP: AIM-J: Theme: Knowledge-Based

Information Management in Intensive Care

and Anaesthesia.


From: Silvia Miksch
Date: Tue, 6 Jul 1999 16:45:56 -0400 (EDT)



********************************************************************
                        Second CALL FOR PAPER SUBMISSIONS
*******************************************************************


SPECIAL ISSUE of the JOURNAL
"ARTIFICIAL INTELLIGENCE IN MEDICINE"
(published by Elsevier)

--------------------------------------------------------------------
Theme: Knowledge-Based Information Management in Intensive
       Care and Anaesthesia.
--------------------------------------------------------------------

Guest-Editors: 
Michel Dojat: INSERM Grenoble (FR), 
Silvia Miksch: IFS Vienna (AT), and 
Jim Hunter: Aberdeen U. (UK)


**********************************************
*   Manuscript deadline: November 1 1999     *
**********************************************

email: michel.dojat@ujf-grenoble.fr

OBJECTIVE OF THE SPECIAL ISSUE

The care of critically ill patients in Intensive Care Units (ICUs) and during Anaesthesia is becoming increasingly complex. Clinicians are required to rapidly interpret and respond to a large number of clinical parameters, selecting appropriate treatment for the patient among many different options.

New measurement technology has increased the demand for improved information management, as has the need to monitor and assess the quality of care provided. Designing computerized systems to assist clinical staff in monitoring, diagnosis and therapy planning tasks is a challenging goal that requires the modeling of several levels of knowledge. The objective behind this special issue is to report on state-of-the art of theoretical and methodological developments for knowledge-based information management in intensive care and anesthesia.

-----------------
Topics of particular interest include, but are not limited to:

 quality control and assessment
 clinical guidelines and protocols
 computational methods for intelligent data analysis
 effective and efficient real-time monitoring 
  (including intelligent alarming)
 decision support
 fusion of data from heterogeneous sources
 multi-agent design, distributed architecture
 uncertain and temporal reasoning
 knowledge acquisition from physiological data
 information visualization
 information retrieval


GUIDELINES & SCHEDULE

All manuscripts will be evaluated according to their originality, technical quality and clarity of presentation by at least two independent referees who are authorities in the field.

A manuscript should be about 20 pages excluding tables and figures but including the list of references. Manuscripts should be prepared in accordance with the journal "submission guidelines",which are available on request, and may also be retrieved from http://www.elsevier.nl/locate/artmed .

Three copies of a manuscript should be sent by surface mail before November 1st, 1999 to:

Michel Dojat
INSERM U438 "RMN Bioclinique"
CHU de Grenoble Pavillon B
BP 217
38043 Grenoble Cedex 9
Phone: 33 4 76 76 57 48
Fax: 33 4 76 76 58 96
email : mdojat@ujf-grenoble.fr

Electronic submissions (to mdojat@ujf-grenoble.fr) are strongly encouraged in PDF or PS format only.

Perspective authors are strongly encouraged to contact the guest editor at the address above and to declare their intention to participate in the special issue as early as possible. To this end, please submit by email a tentative title and a short summary before September 1st, 1999.

IMPORTANT DATES

September 1, 1999  Submission of tentative title and abstract to
declare intention to submit paper
November 1, 1999   Receipt of full papers
January 31, 2000   Notification of acceptance
March 1, 2000      Receipt of final-version of manuscripts
November 2000      Publication of AIM special issue





***************************************************************
**********     NEW Phone-number: +43-1-58801-18824 ************
**********     NEW Fax-number: +43-1-58801-18899   ************
***************************************************************
================================================================
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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