• General Information
• Topics
• Submission
• Scientific Program
• Program Committee
• List of Accepted Papers
• The Workshop Schedule
• Publication of Papers
• Workshop Registration

General information

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.

Topics

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.

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

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

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

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

List of Accepted Papers

Workshop Schedule (provisional) and Organization Details

The room will be provided with

• an overhead projector,
• a 35mm slide projector, and
• a computer projector (LCD for use with PC etc, but no PC; resolution of the projector: 800x600 or 1024x768).
• but no internet connection

Publication of Papers

Workshop Registration

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