Different decision tree induction strategies for a medical decision problem

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 frst does not use expert knowledge and generates classifer 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 classifers are evaluated on the basis of computer experiments. © Versita Sp. z o.o.