Skip to main content

Capturing Behavior of Medical Staff: A Similarity-Oriented Temporal Data Mining Approach

  • Conference paper
Future Generation Information Technology (FGIT 2011)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7105))

Included in the following conference series:

  • 1410 Accesses

Abstract

This paper presents data mining results 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 research is supported by Grant-in-Aid for Scientific Research (B) 21300052 from Japan Society for the Promotion of Science (JSPS).

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. Hirano, S., Tsumoto, S.: Multiscale comparison and clustering of three-dimensional trajectories based on curvature maxima. International Journal of Information Technology and Decision Making 9(6), 889–904 (2010)

    Article  MATH  Google Scholar 

  3. Tsumoto, S.: Knowledge discovery in clinical databases and evaluation of discovered knowledge in outpatient clinic. Information Sciences (124), 125–137 (2000)

    Article  Google Scholar 

  4. Tsumoto, S.: G5: Data mining in medicine. In: Kloesgen, W., Zytkow, J. (eds.) Handbook of Data Mining and Knowledge Discovery, pp. 798–807. Oxford University Press, Oxford (2001)

    Google Scholar 

  5. 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 

  6. Tsumoto, S., Hirano, S.: Detection of risk factors using trajectory mining. J. Intell. Inf. Syst. 36(3), 403–425 (2011)

    Article  Google Scholar 

  7. Tsumoto, S., Hirano, S., Tsumoto, Y.: Clustering-based analysis in hospital information systems. In: Proceedings of GrC 2011. IEEE Computer Society (2010)

    Google Scholar 

  8. Tsumoto, S., Hirano, S., Tsumoto, Y.: Towards data-oriented hospital services: Data mining-based hospital management. In: Fan, W., Hsu, W., Webb, G.I., Liu, B., Zhang, C., Gunopulos, D., Wu, X. (eds.) ICDM Workshops, pp. 1076–1083. IEEE Computer Society (2010)

    Google Scholar 

  9. Tsumoto, S., Hirano, S., Tsumoto, Y.: Information reuse in hospital information systems: A data mining approach. In: IRI, pp. 172–176. IEEE Systems, Man, and Cybernetics Society (2011)

    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., Iwata, H., Tsumoto, Y. (2011). Capturing Behavior of Medical Staff: A Similarity-Oriented Temporal Data Mining Approach. In: Kim, Th., et al. Future Generation Information Technology. FGIT 2011. Lecture Notes in Computer Science, vol 7105. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27142-7_1

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-27142-7_1

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-27141-0

  • Online ISBN: 978-3-642-27142-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics