Generating Classifier for the Acute Abdominal Pain Diagnosis Problem.

摘要

The inductive learning algorithms are the very attractive methods generating hierarchical classifiers, They generate the hypothesis of the target concept on the base 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.