Advertisement

The validation of an expert system for diagnosis of acute myocardial infarction

  • A. RabeloJr.
  • A. R. Rocha
  • A. Souza
  • A. Araujo
  • A. Ximenes
  • C. Andrade
  • D. Onnis
  • I. Olivaes
  • K. Oliveira
  • N. Lobo
  • N. Ferreira
  • S. Lopes
  • V. Werneck
Diagnostic Problem Solving
  • 130 Downloads
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1211)

Abstract

This paper describes the validation of an expert system for diagnosis of acute myocardial infarction developed to support doctors without cardiology specialization. The conception of this expert system took into account the characteristics and problems of Brazilian Health Care System. However since similar features are found in the Health Care Systems of other countries, the usefulness of this system is not restricted to the Brazilian context.

Keywords

Acute Myocardial Infarction Expert System Coronary Care Unit ECGs Interpretation Conventional Software 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    J.Knight and E.A.Myers. Improved inspection technique. Communications of the ACM, 36:51–61, 1993.Google Scholar
  2. 2.
    A.Rabelo Jr. et al. An expert system for diagnosis of acute myocardial infarction: software quality assurance procedures. In Proc. European Symposium on the Validation and Verification of Knowledge Based-Systems pages 117–128, 1995.Google Scholar
  3. 3.
    P.Meseguer and E. Plaza. Validation of KBS: the VALID project. In L.Steels and B. Lepape, editors, Enhancing the Knowledge Engineering Process, pages 55–78. Elsevier, 1992.Google Scholar
  4. 4.
    P.Meseguer. Conventional software and expert systems: some comparative aspects regarding validation. In J.Cuena, editor, Knowledge Oriented Software Design, pages 193–204. Elsevier, 1993.Google Scholar
  5. 5.
    R.O'Keefe, O. Balci and E.P. Smith. Validating expert systems performance. IEEE Expert 4:81–87, 1987.Google Scholar
  6. 6.
    T.J.O'Leary, M.G.Goul, K.E.Hoffitt and A.E.Radwan. Validating expert systems. IEEE Expert 7:51–58, 1990.Google Scholar
  7. 7.
    A.M.Davis. Operational prototyping: a new development approach. IEEE Software 9:70–78, 1992.Google Scholar
  8. 8.
    P.François et al. Comparative study of human expertise and an expert system: application to the diagnosis of child's meningitis. Computers and Biomedical Research 26:383–392, 1993.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1997

Authors and Affiliations

  • A. RabeloJr.
    • 1
  • A. R. Rocha
    • 2
  • A. Souza
    • 1
  • A. Araujo
    • 1
  • A. Ximenes
    • 1
  • C. Andrade
    • 1
  • D. Onnis
    • 1
  • I. Olivaes
    • 1
  • K. Oliveira
    • 1
    • 2
  • N. Lobo
    • 1
  • N. Ferreira
    • 1
  • S. Lopes
    • 1
  • V. Werneck
    • 1
    • 2
  1. 1.Cardiology and Cardiovascular Surgery Unit (UCCV)Federal University of Bahia Fundação Bahiana de Cardiologia (FBC)SalvadorBrazil
  2. 2.COPPE, Computer Science DepartmentFederal University of Rio de JaneiroRio de JaneiroBrazil

Personalised recommendations