Abstract
It is known that a lot of incidents has happened ahead of a serious accident. Such experiences have been collected in medical sites as incident reports. The text mining is expected as a method that discovers the factors of incidents and the improvement of the situation. This paper proposes a method to analyse the co-occurrence relation of the words that appear in the medical incident reports using concept lattice.
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References
Carpineto, C., Romano, G.: Concept Data Analysis Theory and Application. John Wiley and Sons, Chichester (2004)
Cheng, Y., Church, G.M.: Biclustering of expression data. In: Proceedings of the 8th International Conference on Intelligent Systems for Molecular Biology, pp. 93–103 (2000)
Dhillon, I.S., Mallela, S., Modha, D.S.: Information-Theoretic Co-clustering. In: Proceedings of The Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), pp. 89–98 (2003)
Ganter, B., Wille, R., Franzke, C.: Formal Concept BAnalysis:Mathematical Foundation. Springer, Heidelberg (1999)
Kawamura, H.: Willing to write incident reports – lessons learned to prevent accidents, Igaku-Shoin (2000) (in Japanese)
Kaneko, K.: Reports on activities in Kyushu University Hospital for Medical Safety Management Database. In: 12th Web Intelligence Workshop (2008) (in Japanese)
Kawanaka, H., Otani, Y., Yamamoto, K., Shinogi, T., Tsuruoka, S.: Tendency discovery from incident report map generated by self organizing map and its development. In: IEEE International Conference on Systems, Man and Cybernetics, pp. 2016–2021 (2007)
Okabe, T., Yoshikawa, T., Furuhashi, T.: A Proposal of Analysis System for Medical Incident Reports using Metadata and Co-occurrence Information. Journal of Knowledge, Information and Fuzzy Society 18(5), 689–700 (2006) (in Japanese)
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Baba, T., Liu, L., Hirokawa, S. (2010). Formal Concept Analysis of Medical Incident Reports. In: Setchi, R., Jordanov, I., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based and Intelligent Information and Engineering Systems. KES 2010. Lecture Notes in Computer Science(), vol 6278. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15393-8_24
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DOI: https://doi.org/10.1007/978-3-642-15393-8_24
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-15392-1
Online ISBN: 978-3-642-15393-8
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