Generating Classifier for the Acute Abdominal Pain Diagnosis Problem

Abstract

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.

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Document Details

Document Type
Technical Report
Publication Date
Oct 25, 2001
Accession Number
ADA409735

Entities

People

  • Marek Kurzynski
  • Michal Wozniak

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Algorithms
  • Classification
  • Computer Networks
  • Computers
  • Data Mining
  • Digestive System
  • Diseases And Disorders
  • Health Services
  • Intestinal Diseases
  • Learning
  • Machine Learning
  • Mathematical Models
  • Medical Personnel
  • Models
  • Pain
  • Target Classification
  • Therapy

Fields of Study

  • Computer science

Readers

  • Artificial Intelligence
  • Cardiovascular Physiology
  • Neural Network Machine Learning.