A Probabilistic Reformulation of the Quick Medical Reference System
نویسندگان
چکیده
We report on the design and implementation of a two-level multiply-connected belief-network representation of the QMR knowledge base. We use probabilities derived from QMR disease profiles and from National Center for Health Statistics hospital-discharge statistics. Using a stochastic simulation algorithm for inference on the belief network, we compare the performance ofQMR to that of the probabilistic reformulation on cases abstracted from continuing medical education materials from Scientific American Medicine.
منابع مشابه
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We have developed a probabilistic reformulation of the Quick Medical Reference (QMR) system. In Part I of this two-part series, we described a two-level, multiply connected belief-network representation of the QMR knowledge base and a simulation algorithm to perform probabilistic inference on the reformulated knowledge base. In Part II of this series, we report on an evaluation of the probabili...
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