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What Should Be Abducible for Abductive Nursing Risk Management?

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Knowledge-Based Intelligent Information and Engineering Systems (KES 2006)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4253))

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Abstract

In this paper, we analyze the hypothesis features of dynamic nursing risk management. In general, for risk management, static risk management is adopted. However, we cannot manage novel or rare accidents or incidents with general and static models. It is more important to conduct dynamic risk management where non-general or unfamiliar situations can be dealt with. We, therefore, propose an abductive model that achieves dynamic risk management where new hypothesis sets can be generated. To apply such a model to nursing risk management, we must consider types of newly generated hypotheses because sometimes newly generated hypotheses might cause accidents or incidents. We point out the preferable hypotheses features for nursing risk management.

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References

  1. Abe, A.: Abductive Analogical Reasoning. Systems and Computers in Japan 31(1), 11–19 (2000)

    Article  Google Scholar 

  2. Abe, A.: The Role of Abduction in Chance Discovery. New Generation Computing 21(1), 61–71 (2003)

    Article  MATH  Google Scholar 

  3. Abe, A., Kogure, K., Hagita, N.: Determination of A Chance in Nursing Risk Management. In: Proc. of ECAI 2004 Workshop on Chance Discovery, pp. 222–231 (2004)

    Google Scholar 

  4. Abe, A., Sagara, K., Ozaku, H.I., Kuwahara, N., Kogure, K.: On Building of Nursing Ontology. JCMI25, 3-D-2-4 (2005) (in Japanese)

    Google Scholar 

  5. Abe, A., Ozaku, H.I., Kuwahara, N., Kogure, K.: Scenario Violation in Nursing Activities — Nursing Risk Management from the viewpoint of Chance Discovery. Soft Computing Journal (to appear, 2006)

    Google Scholar 

  6. Brusoni, V., Console, L., Terenziani, P., Dupré, D.T.: An Efficient Algorithm for Temporal Abduction. In: Proc. 5th Congress of the Italian Association for Artificial Intelligence, pp. 195–206 (1997)

    Google Scholar 

  7. Japan Academy of Nursing Science (eds.): Classification of Nursing Practice. Japan Academy of Nursing Science (2005) (in Japanese)

    Google Scholar 

  8. Japan Nursing Association (eds.): Nursing Practice Classification Table. Japan Nursing Association (2004) (in Japanese)

    Google Scholar 

  9. Kuwahara, N., et al.: Ubiquitous and Wearable Sensing for Monitoring Nurses’ Activities. In: Proc. SCI 2004, vol. VII, pp. 281–285 (2004)

    Google Scholar 

  10. Ohsawa, Y.: Chance Discovery for Making Decisions in Complex Real World. New Generation Computing 20(2), 143–163 (2002)

    Article  MATH  Google Scholar 

  11. Ohsawa, Y., Okazaki, N., Matsumura, N.: A Scenario Development on Hepatics B and C, Technical Report of JSAI, SIG-KBS-A301, pp. 177–182 (2003)

    Google Scholar 

  12. Ozaku, H.I., Sagara, K., Naya, F., Kuwahara, N., Abe, A., Kogure, K.: Building Dialogue Corpora for Nursing Activity Analysis. In: Proc. of LINC 2005 Workshop, pp. 41–48 (2005)

    Google Scholar 

  13. Ozaku, H.I., Abe, A., Sagara, K., Kuwahara, N., Kogure, K.: A Task Analysis of Nursing Activites Using Spoken Corpora. Advances in Natural Language Processing, Research in Computing Science 18, 125–136 (2006)

    Google Scholar 

  14. Ozaku, H.I., Sagara, K., Kuwahara, N., Abe, A., Kogure, K.: Nursing Spoken Corpora for Understanding Nursing Assignments. In: Proc. of NI 2006, pp. 481–485 (2006)

    Google Scholar 

  15. Poole, D., Goebel, R., Aleliunas, R.: Theorist: A Logical Reasoning System for Defaults and Diagnosis. In: Cercone, N.J., McCalla, G. (eds.) The Knowledge Frontier: Essays in the Representation of Knowledge, pp. 331–352. Springer, Heidelberg (1987)

    Google Scholar 

  16. Reiter, R., de Kleer, J.: Foundation of assumption-based truth maintenance systems: Preliminary report. In: Proc. of AAAI 1987, pp.183–188 (1987)

    Google Scholar 

  17. Vincent, C., Ennis, M., Audley, R.J. (eds.): Medical Accidents. Oxford University Press, Oxford (1993)

    Google Scholar 

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Author information

Authors and Affiliations

  1. ATR Media Information Science Laboratories, 2-2-2, Hikaridai, Seika-cho, Soraku-gun, Kyoto, 619-0288, Japan

    Akinori Abe, Hiromi Itoh Ozaku, Noriaki Kuwahara & Kiyoshi Kogure

Authors
  1. Akinori Abe
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  2. Hiromi Itoh Ozaku
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  3. Noriaki Kuwahara
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  4. Kiyoshi Kogure
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Editor information

Editors and Affiliations

  1. School of Design, Engineering and Computing, Bournemouth University, UK

    Bogdan Gabrys

  2. Centre for SMART Systems, School of Environment and Technology, University of Brighton, BN2 4GJ, Brighton, UK

    Robert J. Howlett

  3. School of Electrical and Information Engineering, Knowledge Based Intelligent Engineering Systems Centre, University of South Australia, Mawson Lakes, 5095, SA, Australia

    Lakhmi C. Jain

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© 2006 Springer-Verlag Berlin Heidelberg

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Abe, A., Ozaku, H.I., Kuwahara, N., Kogure, K. (2006). What Should Be Abducible for Abductive Nursing Risk Management?. In: Gabrys, B., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2006. Lecture Notes in Computer Science(), vol 4253. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11893011_4

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  • DOI: https://doi.org/10.1007/11893011_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-46542-3

  • Online ISBN: 978-3-540-46544-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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