Skip to main content
SpringerLink
Log in
SpringerLink
Log in

Data Mining for Decision Support: An Application in Public Health Care

  • Conference paper
Innovations in Applied Artificial Intelligence (IEA/AIE 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3533))

Abstract

We propose a selection of knowledge technologies to support decisions of the management of public health care in Slovenia, and present a specific application in one region (Celje). First, we exploit data mining and statistical techniques to analyse databases that are regularly collected for the national Institute of Public Health. Next, we study organizational aspects of public health resources in the Celje region with the objective to identify the areas that are atypical in terms of availability and accessibility of the public health services for the population. The most important step is the detection of outliers and the analysis of the causes for availability and accessibility deviations. The results can be used for high-level health-care planning and decision-making.

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 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
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. Smith, R.G., Farquhar, A.: The Road Ahead for Knowledge Management: An AI Perspective. AI Magazine 21(4), 17–40 (2000)

    Google Scholar 

  2. Biere, M.: Business Intelligence for the Enterprise. Prentice Hall PTR, Englewood Cliffs (2003)

    Google Scholar 

  3. McKenzie, J., van Winkelen, C.: Exploring E-collaboration Space. Henley Knowledge Management Forum (2001)

    Google Scholar 

  4. Mladenić, D., Lavrač, N., Bohanec, M., Moyle, S. (eds.): Data Mining and Decision Support: Integration and Collaboration. Kluwer, Dordrecht (2003)

    MATH  Google Scholar 

  5. Han, J., Kamber, M.: Data Mining: Concepts and Techniques. Morgan Kaufman, San Francisco (2001)

    Google Scholar 

  6. Mallach, E.G.: Decision Support and Data Warehouse Systems. McGraw-Hill, New York (2000)

    Google Scholar 

  7. Legendre, P., Legendre, L.: Numerical Ecology, pp. 317–341. Elsevier, Amsterdam (1998)

    MATH  Google Scholar 

  8. Zar, J.H.: Bistatistical Analysis, pp. 478–481. Prentice Hall, Englewood Cliffs (1999)

    Google Scholar 

  9. Ludwig, J.A., Reynolds, J.F.: Statistical ecology: A primer of methods and computing, p. 337. Wiley Press, Chichester (1988)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Ministry of the Interior, Štefanova 2, SI-1000, Ljubljana, Slovenia

    Aleksander Pur

  2. Jožef Stefan Institute, Jamova 39, SI-1000, Ljubljana, Slovenia

    Marko Bohanec, Bojan Cestnik, Nada Lavrač & Marko Debeljak

  3. Nova Gorica Polytechnic, Nova Gorica, Slovenia

    Nada Lavrač

  4. Public Health Institute, Celje, Slovenia

    Tadeja Kopač

  5. Faculty of Administration, University of Ljubljana, Ljubljana, Slovenia

    Marko Bohanec

  6. Temida, d.o.o., Ljubljana, Slovenia

    Bojan Cestnik

Authors
  1. Aleksander Pur
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Marko Bohanec
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Bojan Cestnik
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Nada Lavrač
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Marko Debeljak
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Tadeja Kopač
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Department of Computer Science, Texas State University-San Marcos, Nueces 247, 601 University Drive, 78666-4616, San Marcos, TX, USA

    Moonis Ali

  2. Dipartimento di Informatica, Università degli Studi di Bari,  

    Floriana Esposito

Rights and permissions

Reprints and permissions

Copyright information

© 2005 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Pur, A., Bohanec, M., Cestnik, B., Lavrač, N., Debeljak, M., Kopač, T. (2005). Data Mining for Decision Support: An Application in Public Health Care. In: Ali, M., Esposito, F. (eds) Innovations in Applied Artificial Intelligence. IEA/AIE 2005. Lecture Notes in Computer Science(), vol 3533. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11504894_64

Download citation

  • DOI: https://doi.org/10.1007/11504894_64

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-26551-1

  • Online ISBN: 978-3-540-31893-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation