Skip to main content
SpringerLink
Log in

The Analysis of Near-Miss Cases Using Data-Mining Approach

  • Conference paper
Book cover Human-Computer Interaction. HCI Applications and Services (HCI 2007)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 4553))

Included in the following conference series:

Abstract

We applied the data mining technique to medical near-miss cases collected by a foundation related to the Japanese Health, Labor and Welfare Ministry, and extracted information such as pairs of confusing medicines, the cause of near-miss cases in some situations, which cannot be obtained by simple aggregation calculations and descriptive statistics. We also introduce the results of text mining applied to the free-description data regarding the backgrounds and causes of near-miss cases and their counter measures.

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 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
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. Kimura, M., et al.: Analysis of Questionnaires Regarding Safety of Drug Use, Application of Text Mining to Free Description Questionnaires. The Japanese Journal of Ergonomics 41(5), 297–3051 (2005)

    Google Scholar 

  2. Hayasaka, T., et al.: The analysis of medical near-miss cases applying text mining method. In: The 36th Annual Meeting of the Kanto-branch Japan Ergonomics Society (2006)

    Google Scholar 

  3. Tatsuno, K., et al.: Applying the data mining technique to near-miss cases of medicine (III). In: The 35th Annual Meeting of the Kanto-branch Japan Ergonomics Society (2005)

    Google Scholar 

  4. Takahashi, Y., et al.: Study on analysis for near-miss cases with medicine (II). In: The 34th Annual Meeting of the Kanto-branch Japan Ergonomics Society (2004)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Shibaura Institute of Technology, 3-7-5 Toyosu, Koto-ku, Tokyo, Japan

    Masaomi Kimura, Kouji Tatsuno, Toshiharu Hayasaka, Yuta Takahashi, Tetsuro Aoto & Michiko Ohkura

  2. Tokyo Medical and Dental University Dental Hospital, 1-5-45 Yushima, Bunkyo-ku, Tokyo, Japan

    Fumito Tsuchiya

Authors
  1. Masaomi Kimura
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Kouji Tatsuno
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Toshiharu Hayasaka
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Yuta Takahashi
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Tetsuro Aoto
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Michiko Ohkura
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Fumito Tsuchiya
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Julie A. Jacko

Rights and permissions

Reprints and permissions

Copyright information

© 2007 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Kimura, M. et al. (2007). The Analysis of Near-Miss Cases Using Data-Mining Approach. In: Jacko, J.A. (eds) Human-Computer Interaction. HCI Applications and Services. HCI 2007. Lecture Notes in Computer Science, vol 4553. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73111-5_54

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-73111-5_54

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-73109-2

  • Online ISBN: 978-3-540-73111-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation