A Probabilistic Network for Fusion of Data and Knowledge in Clinical Microbiology
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
Unable to display preview. Download preview PDF.
- S. Andreassen, L. Leibovici, H.C. Schønheyder, B. Kristensen, C. Riekehr, A.G. Kjær, and K.G. Olesen. A decision theoretic approach to empirical treatment of bacteraemia originating from the urinary tract. In W. Horn, editor, Lecture Notes in Artificial Intelligence, Vol. 1620, pages 197–206. Springer-Verlag, Berlin, 1999.Google Scholar
- Hugin Expert (anonymous). Hugin System Introduction, version 5.1. Hugin Expert A/S, Aalborg, 1997.Google Scholar
- C.P. Friedman and J.C. Wyatt. Evaluation Methods in Medical Informatics. Computers and Medicine. Springer-Verlag, New York, 1998.Google Scholar
- B. Kristensen, S. Larsen, H.C. Schønheyder, L. Leibovici, M. Paul, U. Frank, and S. Andreassen. A decision support system (DSS) for antibiotic treatment improves empirical treatment and reduces costs. In Proceedings of 41st Interscience Conference on Antimicrobial Agents and Chemotherapy (ICAAC), page 476, Illinois, 2001. American Society for Microbiology.Google Scholar
- B. Kristensen, C.H. Riekehr, H.C. Schønheyder, S. Larsen, J. Klitgaard, A. Zalounina, L. Leibovici, U. Frank, and S. Andreassen. Empirical antibiotic treatment of bacteraemia: Evaluation of a Bayesian decision model against clinical practice and guidelines. (Submitted), 2004.Google Scholar
- L. Leibovici, I. Shraga, and S. Andreassen. How do you choose antibiotic treatment? British Medical Journal, 318:1614–1616, 1999.Google Scholar
- T.R. Maschoreck, M.C. Sørensen, M. Andresen, I.M. Høgsberg, P. Rasmussen, and J. Søgård. Omkostningsanalyse af dialysebehandlingen på Odense Universitetshospital og Sønderborg Sygehus. Ugeskr Læger, 160:7418–7424, 1998.Google Scholar
- J. Pearl. Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Reasoning. Morgan Kaufmann, San Mateo, CA, 1988.Google Scholar
- E. Shortliffe. Computer-Based Medical Consultations: MYCIN. North Holland, New York, 1976.Google Scholar
- E. Tacconelli, M. Paul, M.A. Cataldo, N. Almanasreh, A. Zalounina, A. Nielsen, S. Andreassen, U. Frank, R. Cauda, and L. Leibovici. A computerized decision support system (TREAT) to reduce inappropriate antibiotic therapy of bacterial infection. Proceedings at 14th European Congress of Clinical Microbiology and Infectious Diseases, 10(3):4 (abstract), 2004.Google Scholar