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As computerized health-care
support systems are
rapidly becoming more knowledge intensive, the representation of
medical knowledge in a form that enables reasoning is growing in
relevance and taking a more central role in the area of Medical
Informatics. In order to achieve a successful decision-support and
knowledge management approach to medical knowledge representation, the
scientific community has to provide efficient representations,
technologies, and tools to integrate all the important elements that
health care providers work with: electronic health records and
health-care information systems, clinical practice guidelines and
standardized medical technologies, codification standards, etc.
Synergies to integrate the
above mentioned elements and types of
knowledge must be sought both in the medical problems (e.g.,
prevention, diagnosis, therapy, prognosis, etc.) and also in the
Computer Science and Artificial Intelligence technologies (e.g.,
natural language processing, digital libraries, knowledge
representation, knowledge integration and merging, decision support
systems, machine learning, e-learning, etc).
The second KR4HC workshop
will focus on electronic patient data. After
many years of promise, we finally begin to see a widespread deployment
of electronic patient records and dossiers.
Previous events:
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In conjunction with
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