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SPOTLIGHT
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This is the already the seventh IDAMAP workshop. You
can check where were the previous
workshops and download papers that were presented.
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| IDAMAP 2002: Topics
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In the workshop, attention will be given to systems that aim at
exploiting machine-learning tools, such as decision trees, Bayesian
structure and parameter learning, clustering and instance-based
learning methods to promote the construction of effective decision
models to support medical decision making, the discovery of meaningful
(e.g. temporal and spatial) patterns and structures in biomedical
data, biomolecules and bioassays, the design of new drug compounds,
etc. In addition, issues related to automated data collection and
data visualisation in modern hospitals, such as analysis of
computer-based patient records (CPR), outcomes analysis, intelligent
alarming, effective and efficient monitoring, and so on are covered in
the workshop.
Papers should explicitly address the topics of the workshop,
explaining:
- what kind of knowledge has been used or extracted;
- why it was necessary to exploit the available knowledge;
- how the available knowledge is represented;
- how the derived knowledge is used.
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