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Summary: An Introspective Component-Based Approach for Meta-Level
Reasoning in Clinical Decision Support Systems
Tor Gunnar Houeland, Agnar Aamodt
Department of Computer and Information Science,
Norwegian University of Science and Technology,
NO-7491 Trondheim, Norway
{houeland,agnar}@idi.ntnu.no
Abstract
The paper presents core elements of a meta-level architecture for clinical
decision support, in the domain of palliative care. The goal of the reported
research is to develop an architecture and an integrated set of methods for
an introspective meta-level reasoner. Within the architecture a system is
under development that addresses the identification and utilization of clinical
guidelines for the assessment and treatment of cancer pain. Case-based
reasoning is a core component of the architecture, which also incorporates
rule-based and probabilistic model-based methods. The paper presents the
overall architectural constraints and exemplifies parts of it through structured
component descriptions.
1 Introduction
A clinical decision support system that covers several clinical tasks, such as patient
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