Skip to main content

Information Reuse in Hospital Information Systems: A Similarity-Oriented Data Mining Approach

  • Conference paper
Rough Sets and Knowledge Technology (RSKT 2011)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6954))

Included in the following conference series:

  • 1862 Accesses

Abstract

This paper presents application of data mining to data stored in a hospital information system in which temporal behavior of global hospital activities are visualized. The results show that the reuse of stored data will give a powerful tool for hospital management and lead to improvement of hospital services.

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 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. Hanada, E., Tsumoto, S., Kobayashi, S.: A ”Ubiquitous environment” through wireless voice/Data communication and a fully computerized hospital information system in a university hospital. In: Takeda, H. (ed.) E-Health 2010. IFIP-AICT, vol. 335, pp. 160–168. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

  2. Tsumoto, S., Hirano, S.: Risk mining in medicine: Application of data mining to medical risk management. Fundam. Inform. 98(1), 107–121 (2010)

    MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Tsumoto, S., Hirano, S. (2011). Information Reuse in Hospital Information Systems: A Similarity-Oriented Data Mining Approach. In: Yao, J., Ramanna, S., Wang, G., Suraj, Z. (eds) Rough Sets and Knowledge Technology. RSKT 2011. Lecture Notes in Computer Science(), vol 6954. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24425-4_50

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-24425-4_50

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-24424-7

  • Online ISBN: 978-3-642-24425-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics