]> 2012-02-11T07:33:16-05:00 A Probabilistic Reformulation of the Quick Medical Reference System 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 of QMR to that of the probabilistic reformulation on cases abstracted from continuing medical education materials from Scientific American Medicine. techreport 1990 A Probabilistic Reformulation of the Quick Medical Reference System KSL-90-11 1990 A Probabilistic Reformulation of the Quick Medical Reference System 1990 Year Title YES Process note Number Ksl tr id Knowledge Systems, AI Laboratory Institution Has year Has where published Has title Has publishing details Has identifier Has author Bibtype Michael Shwe and Blackford Middleton and David Heckerman and Max Henrion and Eric Horvitz and Harold P. Lehmann and Gregory F. Cooper Author Abstract KSL Technical Report Publication Technical Report