Central European Journal of Medicine

, Volume 7, Issue 2, pp 183–193 | Cite as

Different decision tree induction strategies for a medical decision problem

Research Article
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Abstract

The paper presents a comparative study of selected recognition methods for the medical decision problem -acute abdominal pain diagnosis. We consider if it is worth using expert knowledge and learning set at the same time. The article shows two groups of decision tree approaches to the problem under consideration. The first does not use expert knowledge and generates classifier only on the basis of learning set. The second approach utilizes expert knowledge for specifying the decision tree structure and learning set for determining mode of decision making in each node based on Bayes decision theory. All classifiers are evaluated on the basis of computer experiments.

Keywords

Acute abdominal pain Univariate and multivariate decision trees Bayes decision theory Multistage classifier Medical decision support systems 

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Copyright information

© © Versita Warsaw and Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  1. 1.Department of Systems and Computer Networks, Faculty of ElectronicsWroclaw University of Technology WybrzezeWroclawPoland

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