Machine Learning
Pattern Recognition and Neural Networks
Pattern Recognition and Neural Networks
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The class imbalance problem: A systematic study
Intelligent Data Analysis
Journal of Biomedical Informatics
Guest Editorial: Intelligent data analysis in biomedicine
Journal of Biomedical Informatics
Journal of Biomedical Informatics
Classification of Otoneurological Cases According to Bayesian Probabilistic Models
Journal of Medical Systems
Comparing risks of alternative medical diagnosis using Bayesian arguments
Journal of Biomedical Informatics
Risk prediction for postoperative morbidity of endovascular aneurysm repair using ensemble model
ICCSA'10 Proceedings of the 2010 international conference on Computational Science and Its Applications - Volume Part III
Journal of Medical Systems
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A prognostic Bayesian network (PBN) is new type of prognostic model that implements a dynamic, process-oriented view on prognosis. In a companion article, the rationale of the PBN is described, and a dedicated learning procedure is presented. This article presents an application hereof in the domain of cardiac surgery. A PBN is induced from clinical data of cardiac surgical patients using the proposed learning procedure; hospital mortality is used as outcome variable. The predictive performance of the PBN is evaluated on an independent test set, and results were compared to the performance of a network that was induced using a standard algorithm where candidate networks are selected using the minimal description length principle. The PBN is embedded in the prognostic system ProCarSur; a prototype of this system is presented. This application shows PBNs as a useful prognostic tool in medical processes. In addition, the article shows the added value of the PBN learning procedure.