Abstract
A Bayesian network (BN) is a tool to describe and analyze multivariate distributions. In biomedicine the main applications are in expert systems, in bioinformatics applications in genetics, and in identifying gene-regulatory networks, with a particular eye towards causal relationships.
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References
Ben-Gal I (2007) Bayesian networks. In: Ruggeri F, Faltin F, Kenett R (eds) Encyclopedia of statistics in quality & reliability. Wiley, Hoboken, NJ, USA
Jukema JW et al (1995) Effects of lipid lowering by pravastatin on progression and regression of coronary artery disease in symptomatic men with normal to moderately elevated serum cholesterol levels. The Regression Growth Evaluation Statin Study (REGRESS). Circulation 91:2528–2540
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© 2013 Springer Science+Business Media Dordrecht
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Cleophas, T.J., Zwinderman, A.H. (2013). Bayesian Networks. In: Machine Learning in Medicine. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-6886-4_16
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DOI: https://doi.org/10.1007/978-94-007-6886-4_16
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