An expert system for the differential diagnosis of erythemato-squamous diseases

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Guvenir H., Emeksiz N.

EXPERT SYSTEMS WITH APPLICATIONS, vol.18, no.1, pp.43-49, 2000 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 18 Issue: 1
  • Publication Date: 2000
  • Doi Number: 10.1016/s0957-4174(99)00049-4
  • Journal Name: EXPERT SYSTEMS WITH APPLICATIONS
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.43-49
  • Keywords: erythemato-squamous, nearest neighbor classifier, naive Bayesian classifier, voting feature intervals-5
  • Middle East Technical University Affiliated: No

Abstract

This paper presents an expert system for differential diagnosis of erythemato-squamous diseases incorporating decisions made by three classification algorithms: nearest neighbor classifier, naive Bayesian classifier and voting feature intervals-5. This tool enables doctors to differentiate six types of erythemato-squamous diseases using clinical and histopathological parameters obtained from a patient. The program also gives explanations for the classifications of each classifier. The patient records are also maintained in a database for further references. (C) 2000 Elsevier Science Ltd. All rights reserved.