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
Abe, A.: Abductive Analogical Reasoning. Systems and Computers in Japan 31(1), 11–19 (2000)
Abe, A.: The Role of Abduction in Chance Discovery. New Generation Computing 21(1), 61–71 (2003)
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)
Abe, A., Sagara, K., Ozaku, H.I., Kuwahara, N., Kogure, K.: On Building of Nursing Ontology. JCMI25, 3-D-2-4 (2005) (in Japanese)
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)
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)
Japan Academy of Nursing Science (eds.): Classification of Nursing Practice. Japan Academy of Nursing Science (2005) (in Japanese)
Japan Nursing Association (eds.): Nursing Practice Classification Table. Japan Nursing Association (2004) (in Japanese)
Kuwahara, N., et al.: Ubiquitous and Wearable Sensing for Monitoring Nurses’ Activities. In: Proc. SCI 2004, vol. VII, pp. 281–285 (2004)
Ohsawa, Y.: Chance Discovery for Making Decisions in Complex Real World. New Generation Computing 20(2), 143–163 (2002)
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)
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)
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)
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)
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)
Reiter, R., de Kleer, J.: Foundation of assumption-based truth maintenance systems: Preliminary report. In: Proc. of AAAI 1987, pp.183–188 (1987)
Vincent, C., Ennis, M., Audley, R.J. (eds.): Medical Accidents. Oxford University Press, Oxford (1993)
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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
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