Abstract
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.
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CITATION STYLE
Andreassen, S., Leibovici, L., Paul, M., Nielsen, A. D., Zalounina, A., Kristensen, L. E., … Schønheyder, H. C. (2005). A Probabilistic Network for Fusion of Data and Knowledge in Clinical Microbiology. In Probabilistic Modeling in Bioinformatics and Medical Informatics (pp. 451–472). Springer-Verlag. https://doi.org/10.1007/1-84628-119-9_15
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