title: Diagnosis of acute abdominal pain using a three-stage classifier.
abstract: The present paper deals with an application of a three-stage classifier based on a decision tree logic to the diagnosis of acute abdominal pain. On the basis of clinical information collected from a series of 476 patients suffering from abdominal pain of acute onset, the method of multistage classifier synthesis is presented. The results of classification accuracy using a modified version of k-nearest neighbours strategy for different features used at interior nodes of a tree are given.
mesh_terms: D000006:Abdomen, Acute / Q000209:etiology*; D003662:Decision Theory; D003936:Diagnosis, Computer-Assisted; D006801:Humans; D010363:Pattern Recognition, Automated