Schröder, Olaf and Möbus, Claus and Folckers, Jörg and Thole, Heinz-Jürgen (1996) Supporting the Construction of Explanation Models and Diagnostic Reasoning in Probabilistic Domains. In: International Conference on the Learning Sciences (ICLS 96). Proceedings of the ICLS . Association for the Advancement of Computing in Education (AACE), Charlottesville, VA, USA, pp. 60-67. ISBN 1-880094-23-1
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Abstract
MEDICUS (Modeling, Explanation, and DIagnostic support for Complex, Uncertain Subject matters) is an intelligent modeling and diagnosis environment designed to support the construction of explanation models and diagnostic reasoning in domains where knowledge is complex, fragile, and uncertain. MEDICUS is developed in collaboration with several medical institutions in the epidemiological fields of environmentally caused diseases and human genetics. Uncertainty is handled by the Bayesian network approach. In modeling, the user creates a Bayesian network for the problem at hand, receiving help information and explanations from the system. This differs from existing reasoning systems based on Bayesian networks, i.e. in medical domains, which contain a built-in knowledge base that may be used but not created or modified by the user. MEDICUS supports diagnostic reasoning by proposing diagnostic hypotheses and recommending examinations. In this paper we will focus on the modeling component of MEDICUS.
Item Type: | Book Section |
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Uncontrolled Keywords: | MEDICUS, modeling, explanation, diagnostic support, complex domains, uncertain subject matters, intelligent modeling environment, diagnostic environment, environmentally caused diseases, human genetics, Bayesian network approach, system generated help, sytem generated explanations, proposition of diagnostic hypotheses, recommendation of examinations |
Subjects: | Generalities, computers, information > Computer science, internet Philosophy and psychology > Psychology |
Divisions: | School of Computing Science, Business Administration, Economics and Law > Department of Computing Science |
Date Deposited: | 09 Sep 2015 10:45 |
Last Modified: | 09 Sep 2015 10:45 |
URI: | https://oops.uni-oldenburg.de/id/eprint/2201 |
URN: | urn:nbn:de:gbv:715-oops-22821 |
DOI: | |
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