Supporting the Construction of Explanation Models and Diagnostic Reasoning in Probabilistic Domains
نویسندگان
چکیده
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.
منابع مشابه
An Intelligent Problem Solving Environment for Designing Explanation Models and for Diagnostic Reasoning in Probabilistic Domains
MEDICUS2 is an Intelligent Problem Solving Environment (IPSE) currently under development. It is designed to support i) the construction of explanation models, and ii) the training of diagnostic reasoning and hypotheses testing in domains of complex, fragile, and uncertain knowledge. MEDICUS is currently developed and applied in the epidemiological fields of environmentally caused diseases and ...
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تاریخ انتشار 1996