Generating classifier for the acute abdominal pain diagnosis problem

The inductive learning algorithms are very attractive methods for generating hierarchical classifiers. They generate the hypothesis of the target concept on the basis of the set of labeled examples. This paper presents some of the rule generation methods, their usefulness for the rule-base classifier and their quality of classification for the medical decision problem.