- Nada Lavrač21,22,
- Marko Bohanec21,23,
- Aleksander Pur24,
- Bojan Cestnik21,25,
- Mitja Jermol21,
- Tanja Urbančič21,22,
- Marko Debeljak21,
- Branko Kavšek21 &
- …
- Tadeja Kopač26
Part of the book series:Lecture Notes in Computer Science ((LNAI,volume 3581))
Included in the following conference series:
1290Accesses
Abstract
This paper proposes a selection of knowledge technologies for health care planning and decision support in regional-level management of Slovenian public health care. Data mining and statistical techniques were used to analyze databases collected by a regional Public Heath Institute. Specifically, we addressed the problem of directing patients from primary health care centers to specialists. Decision support tools were used for resource modeling in terms of availability and accessibility of public health services for the population. Specifically, we analyzed organisational aspects of public health resources in one Sovenian region (Celje) with the goal to identify the areas that are atypical in terms of availability and accessibility of public health services.
This is a preview of subscription content,log in via an institution to check access.
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Bohanec, M., Rajkovič, V.: DEX: An Expert-System Shell for Decision Support. Sistemica 1(1), 145–157 (1990),http://www-ai.ijs.si/MarkoBohanec/dexi.html
Camarinha-Matos, L.M., Afsarmanesh, H.: Elements of a Base VE Infrastructure. J. Computers in Industry 51(2), 139–163 (2003)
McKenzie, J., van Winkelen, C.: Exploring E-collaboration Space. Henley Knowledge Management Forum (2001)
Mladenić, D., Lavrač, N., Bohanec, M., Moyle, S. (eds.): Data Mining and Decision Support: Integration and Collaboration. Kluwer, Dordrecht (2003)
Pur, A., Bohanec, M., Cestnik, B., Lavrač, N., Debeljak, M., Kopač, T.: Data Mining for Decision Support: An Application in Public Health Care. In: Proc. of the 18th International Conference on Industrial & Engineering Applications of Artificial Intelligence & Expert Systems, Bari (2005) (in press)
Smith, R.G., Farquhar, A.: The Road Ahead for Knowledge Management: An AI Perspective. AI Magazine 21(4), 17–40 (2000)
Author information
Authors and Affiliations
Jožef Stefan Institute, Jamova 39, SI-1000, Ljubljana, Slovenia
Nada Lavrač, Marko Bohanec, Bojan Cestnik, Mitja Jermol, Tanja Urbančič, Marko Debeljak & Branko Kavšek
Nova Gorica Polytechnic, Nova Gorica, Slovenia
Nada Lavrač & Tanja Urbančič
Faculty of Administration, University of Ljubljana, Ljubljana, Slovenia
Marko Bohanec
Ministry of the Interior, Štefanova 2, Ljubljana, Slovenia
Aleksander Pur
Temida, d.o.o., Ljubljana, Slovenia
Bojan Cestnik
Public Health Institute, Celje, Slovenia
Tadeja Kopač
- Nada Lavrač
You can also search for this author inPubMed Google Scholar
- Marko Bohanec
You can also search for this author inPubMed Google Scholar
- Aleksander Pur
You can also search for this author inPubMed Google Scholar
- Bojan Cestnik
You can also search for this author inPubMed Google Scholar
- Mitja Jermol
You can also search for this author inPubMed Google Scholar
- Tanja Urbančič
You can also search for this author inPubMed Google Scholar
- Marko Debeljak
You can also search for this author inPubMed Google Scholar
- Branko Kavšek
You can also search for this author inPubMed Google Scholar
- Tadeja Kopač
You can also search for this author inPubMed Google Scholar
Editor information
Editors and Affiliations
Department of Information and Knowledge Engineering, Danube University Krems, Dr.-Karl-Dorrek-Str. 30, 3500, Krems, Austria
Silvia Miksch
Department of Computing Science, University of Aberdeen, AB24 3UE, Aberdeen, UK
Jim Hunter
Department of Computer Science, University of Cyprus, P.O.Box 20537, CY-1678, Nicosia, Cyprus
Elpida T. Keravnou
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Lavrač, N.et al. (2005). Resource Modeling and Analysis of Regional Public Health Care Data by Means of Knowledge Technologies. In: Miksch, S., Hunter, J., Keravnou, E.T. (eds) Artificial Intelligence in Medicine. AIME 2005. Lecture Notes in Computer Science(), vol 3581. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11527770_55
Download citation
Publisher Name:Springer, Berlin, Heidelberg
Print ISBN:978-3-540-27831-3
Online ISBN:978-3-540-31884-2
eBook Packages:Computer ScienceComputer Science (R0)
Share this paper
Anyone you share the following link with will be able to read this content:
Sorry, a shareable link is not currently available for this article.
Provided by the Springer Nature SharedIt content-sharing initiative