Article
Prediction of coronary atherosclerosis progression using dynamic Bayesian networks.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference - 1 Jan 2013
Exarchos Konstantinos P, Exarchos Themis P, Bourantas Christos V, Papafaklis Michail I, Naka Katerina K, Michalis Lampros K, Parodi Oberdan, Fotiadis Dimitrios I
Abstract excerpt
In this paper we propose a methodology for predicting the progression of atherosclerosis in coronary arteries using dynamic Bayesian networks. The methodology takes into account patient data collected at the baseline study and the same data collected in the follow-up study. Our aim is to analyze...
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