A Probabilistic Network for Fusion of Data and Knowledge in Clinical Microbiology
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A problem in clinical microbiology is that of inappropriate antibiotic therapy. Various decision-support systems have been proposed to aid physicians in this domain, and we discuss the a priori advantages of using a probabilistic network over other approaches. The Treat project uses a probabilistic network to combine clinical signs, symptoms and laboratory results, and we discuss the problem of obtaining probabilities for the network. Finally, we consider how such a system can be tested in clinical practice and outline the results of our tests.
KeywordsConditional Probability Antibiotic Therapy Clinical Microbiology Current Clinical Practice Treat Project
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