Abstract
This paper proposes another dynamic prediction procedure that observes nurses’ conversations to determine critical points in nursing accidents or incidents. The points would be be suggested by words that have a certain feature. We regard such words that might cause accidents or incidents as chances. This paper analyzes these types of words and describes their features to dynamically determine the point at which an accident or incident occurs.
Keywords
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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References
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© 2005 Springer-Verlag Berlin Heidelberg
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Abe, A., Naya, F., Ozaku, H.I., Sagara, K., Kuwahara, N., Kogure, K. (2005). Risk Management by Focusing on Critical Words in Nurses’ Conversations. In: Khosla, R., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2005. Lecture Notes in Computer Science(), vol 3681. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11552413_166
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DOI: https://doi.org/10.1007/11552413_166
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28894-7
Online ISBN: 978-3-540-31983-2
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