Skip to main content

Artificial Intelligence Applied to the Modeling and Implementation of a Virtual Medical Office

  • Chapter
Advances of Computational Intelligence in Industrial Systems

This chapter aims at presenting an overview of two Artificial Intelligence (AI) techniques: Case-Based Reasoning (CBR) and Genetic Algorithm (GA). It will present two implementation models, one for each technique, proposed by the Technology and Science Center (CCT) of the Catholic University of Brasília (UCB), in Brazil.

Afterwards, a case study will show the results of the implementation of those models in the context of IACVIRTUAL, which is a project of a Webbased Virtual Medical Office that has been developed by the researchers of CCT.

Therefore, the chapter will provide a practical demonstration of the application of CBR and GA in the field of Health, specifically as to the support to diagnosis.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Portal Médico (2005) Available on: http://www.cremeb.cfm.org.br~-- accessed on April/18/2005

  2. Davenport TH, Prusak L (1998) Conhecimento Empresarial: Como as organizações gerenciam o seu capital intelectual. Ed Campus, Rio de Janeiro

    Google Scholar 

  3. Schank RC (1982) Dynamic Memory: A Theory of Learning in Computers e People. Cambridge University Press, New York

    Google Scholar 

  4. Kolodner J (1993) Case-Based Reasoning. Morgan Kaufmann, San Francisco

    Google Scholar 

  5. Kassirer JP, Gorry GA (1978) Clinical problem solving: a behavioral analysis. Annals of Internal Medicine, 89(1), pp. 245–255

    Google Scholar 

  6. Sabbatini RM (2004) Uso do Computador no Apoio ao Diagnóstico Médico. Available on http://www.epub.org.br/informed/decisao.htm~-- accessed on May/10/2004

  7. Wangenheim CH, Wangenheim AV (2003) Raciocínio Baseado em Casos. Manole, São Paulo

    Google Scholar 

  8. Silva DJA (2002) Representação e Indexação de Casos em Sistemas de Raciocínio Baseado em Casos para o Domínio da Neurologia. M.Sc. Dissertation. Universidade Federal do Paraíba

    Google Scholar 

  9. Gentner K (1983) Structure mapping: a theoretical framework for analogy. Cognitive Science, 7, pp. 155–170

    Article  Google Scholar 

  10. Aamodt A, Plaza E (1994) Case based reasoning: foundational issues, methodological variations and system approaches. In: Proceedings of the AI Communications, 7(1), pp. 39–59

    Google Scholar 

  11. Balaa ZE, Strauss A, Uziel KM, Traphoner R (2003) Fm-Ultranet: a decision support system using case-based reasoning, Applied to Ultrasonography. In: Workshop on CBR in the Health Sciences

    Google Scholar 

  12. Perner P, Günther T, Perner H (2003) Airborne Fungi Identification by Case-Based Reasoning. Workshop on CBR in the Health Sciences

    Google Scholar 

  13. Long B (2005) Heart Disease Program. Available on: http://medg.lcs.mit.edu/projects/hdp/hdp-intro-tab.html~-- accessed on May/18/2005

  14. Turban E, Aronson JE (1997) Decision Support Systems and Intelligent Systems. Prentice Hall, Englewood Cliffs, NJ

    Google Scholar 

  15. Mattos MM, Wangenheim CGV, Pacheco RC (1999) Aplicação de Raciocínio Baseado em Casos na Fase de Análise de Requisitos para Construção de Abstrações em Lógica de Programação. In: SEMINCO – Seminário de Computação, Blumenau

    Google Scholar 

  16. Derere ML (2000) Case-based reasoning: diagnosis of faults in complex systems through reuse of experience. In: Proceedings of the International Test Conference, Atlantic City, NJ, USA, pp. 27–34

    Google Scholar 

  17. Almeida SMC, Brasil LM, Carvalho HS, Ferneda E, Silva RP (2006) Proposal of a case-based reasoning model for IACVIRTUAL project. In: Proceedings of the IADIS MCCSIS 2006, pp. 312–314

    Google Scholar 

  18. Goldberg DE (1989) Genetic Algorithms in Search, Optimization and Machine Learning. Addison Wesley, CA

    MATH  Google Scholar 

  19. Mitchell TM (1997) Machine Learning. McGraw-Hill, USA

    MATH  Google Scholar 

  20. Linden R (2006) Algoritmos Genéticos: uma importante ferramenta da inteligência computacional. Brasport, Rio de Janeiro

    Google Scholar 

  21. Mitchell M (1999) An Introducing to Genetic Algorithms. MIT Press, Cambridge

    Google Scholar 

  22. Holland J (1975) Adaptation in Natural and Artificial Systems. University of Michigan Press

    Google Scholar 

  23. Azevedo FM (1999) Algoritmos Genéticos em Redes Neurais Artificiais. In: Conselho Nacional de Redes Neurais, pp. c091–c121, São José dos Campos - SP

    Google Scholar 

  24. Tanomaru J (1995) Motivação, Fundamentos e Aplicações de Algoritmos Genéticos. In: Anais do 2o Congresso Brasileiro de Redes Neurais, Curitiba

    Google Scholar 

  25. Lacerda EG, Carvalho ACPLF (1999) Introdução aos Algoritmos Genéticos. In: Anais do XIX Congresso Nacional da Sociedade Brasileira de Computação, vol 2, pp. 51–126

    Google Scholar 

  26. Wettschereck D, Aha D (1995) Weighting features. In: Proceeding of the First International Conference on Case-Based Reasoning. Springer, Berlin Heidelberg New York

    Google Scholar 

  27. Beddoe GR, Petrovic S (2006) Selecting and weighting features using a genetic algorithm in a case-based reasoning approach to personnel roistering. European Journal of Operational Research, 175(2), pp. 649–671

    Article  MATH  Google Scholar 

  28. Haupt RL, Haupt SE (1998) Practical Genetic Algorithms. Wiley, New York

    MATH  Google Scholar 

  29. Silva RP (2005) Modelo de Apoio ao Diagnóstico no Domínio Médico Aplicando Raciocínio Baseado em Casos. M.Sc. Dissertation, Universidade Católica de Brasília

    Google Scholar 

  30. Ramos AM (2000) Modelo para Incorporar Conhecimento Baseado em Experiências à Arquitetura TMN. Ph.D. Thesis, Universidade Federal de Santa Catarina

    Google Scholar 

  31. Rezende SO (2004) Sistemas Inteligentes: Fundamentos e Aplicações. Manole, Barueri

    Google Scholar 

  32. Almeida SMC, Brasil LM, Ferneda E, Carvalho HS, Silva RP (2006) The diagnosis support system for ischemic cardiopathy: a case study in the context of IACVIRTUAL project. In: IFMBE Proceedings, vol 14, World Congress on Medical Physics and Biomedical Engineering, pp. 3541–3544, Seoul

    Google Scholar 

  33. Almeida SMC (2006) Modelo GAC-BRASIL – Algoritmo Genético Aplicado à Similaridade para Raciocínio Baseado em Casos. M.Sc. Dissertation, Universidade Católica de Brasília

    Google Scholar 

  34. Costa CGA (2001) Desenvolvimento e Avaliação Tecnológica de um Sistema de Prontuário Eletrônico do Paciente. M.Sc. Dissertation, Universidade Estadual de Campinas

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2008 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

de Almeida, S.M.C., Brasil, L.M., Ferneda, E., Carvalho, H.S., de Silva, R.P. (2008). Artificial Intelligence Applied to the Modeling and Implementation of a Virtual Medical Office. In: Liu, Y., Sun, A., Loh, H.T., Lu, W.F., Lim, EP. (eds) Advances of Computational Intelligence in Industrial Systems. Studies in Computational Intelligence, vol 116. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-78297-1_8

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-78297-1_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-78296-4

  • Online ISBN: 978-3-540-78297-1

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics