Skip to main content
SpringerLink
Log in

A Conceptual Framework to Model Chronic and Long-Term Diseases

  • Conference paper
  • First Online:
Artificial Intelligence in Medicine (AIME 2001)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2101))

Included in the following conference series:

Abstract

The aim of this paper is to present a conceptual framework to help build modular and extensible knowledge-based systems to support care providers and physicians in the management of patients suffering from long-term or chronic diseases.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight 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. R. B. Altman. AI in Medicine: The Spectrum of Challenges from Managed Care to Molecular Medicine. AI Magazine. Fall 1999. 67–77.

    Google Scholar 

  2. P. Lucas. Prognostic Methods in Medicine. 1999. http://www.cs.ruu.nl/people/lucas.

  3. V. Moret-Bonillo, M. M. Cabrero-Canosa, E. M. Herandez-Pereira. Integration of data, information and knowledge in intelligent patient monitoring. Expert Systems With Applications 15(1998): 155–163.

    Article  Google Scholar 

  4. G. K. McFarland, E. A. McFarlane. Nursing Diagnosis & intervention: Planning for Patient Care. Third Editon. Mosby. 1992.

    Google Scholar 

  5. Management, Control and Prevention of Hepatitis C. Guidelines for Medical Practitioners. http://hna.ffh.vic.gov.au/phb/9609007/manage.htm.

Download references

Author information

Authors and Affiliations

  1. Institute of Computing - Unicamp - Campinas - Brazil, Caixa Postal 6176, CEP: 13083-970, Brazil

    Ana Maria Monteiro & Jacques Wainer

Authors
  1. Ana Maria Monteiro
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Jacques Wainer
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Department of Computer Science, University of Pavia, Via Ferrata, 1, 27100, Pavia, Italy

    Silvana Quaglini

  2. Departamento de Informática Faculdade de Ciências e Tecnologia, Universidade Nova de Lisboa, 2825-114, Caparica, Portugal

    Pedro Barahona

  3. Department of Medical Informatics and Image Analysis, Aalborg University, Fredrik Bajersv ej 7D, 9220, AlborgØst, Denmark

    Steen Andreassen

Rights and permissions

Reprints and permissions

Copyright information

© 2001 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Monteiro, A.M., Wainer, J. (2001). A Conceptual Framework to Model Chronic and Long-Term Diseases. In: Quaglini, S., Barahona, P., Andreassen, S. (eds) Artificial Intelligence in Medicine. AIME 2001. Lecture Notes in Computer Science(), vol 2101. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48229-6_54

Download citation

  • DOI: https://doi.org/10.1007/3-540-48229-6_54

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42294-5

  • Online ISBN: 978-3-540-48229-1

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics

Search

Navigation