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Conference on Artificial Intelligence in Medicine in Europe

AIME 1997: Artificial Intelligence in Medicine pp 243–246Cite as

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

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Part of the book series: Lecture Notes in Computer Science ((LNAI,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.

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Authors and Affiliations

  1. Cardiology and Cardiovascular Surgery Unit (UCCV), Federal University of Bahia Fundação Bahiana de Cardiologia (FBC), Rua Augusto Viana s/n, 40140-060, Salvador, Brazil

    A. Rabelo Jr., A. Souza, A. Araujo, A. Ximenes, C. Andrade, D. Onnis, I. Olivaes, K. Oliveira, N. Lobo, N. Ferreira, S. Lopes & V. Werneck

  2. COPPE, Computer Science Department, Federal University of Rio de Janeiro, Caixa Postal 68511, 21945-970, Rio de Janeiro, Brazil

    A. R. Rocha, K. Oliveira & V. Werneck

Authors
  1. A. Rabelo Jr.
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  2. A. R. Rocha
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  3. A. Souza
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  4. A. Araujo
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  5. A. Ximenes
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  6. C. Andrade
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  7. D. Onnis
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  8. I. Olivaes
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  9. K. Oliveira
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  10. N. Lobo
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  11. N. Ferreira
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  12. S. Lopes
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  13. V. Werneck
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Editor information

Elpida Keravnou Catherine Garbay Robert Baud Jeremy Wyatt

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© 1997 Springer-Verlag Berlin Heidelberg

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Cite this paper

Rabelo, A. et al. (1997). The validation of an expert system for diagnosis of acute myocardial infarction. In: Keravnou, E., Garbay, C., Baud, R., Wyatt, J. (eds) Artificial Intelligence in Medicine. AIME 1997. Lecture Notes in Computer Science, vol 1211. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0029457

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  • DOI: https://doi.org/10.1007/BFb0029457

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-62709-8

  • Online ISBN: 978-3-540-68448-0

  • eBook Packages: Springer Book Archive

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