Abstract
In this paper, we analyze clinical data to model relationships between clinical data and health levels. During analyses of data, we discovered models which are important for determining health levels but cannot be extracted during machine learning process. We regard such models as chance and propose an interactive determination of such models. The obtained models can be referred to when standard models cannot correctly explain certain individual health levels.
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Abe, A., Kogure, K., Hagita, N.: Discovery of Hidden Relations from Medical Data. In: Proc. of HCI 2003 3rd. Int’l Workshop on Chance Discovery, pp. 37–43 (2003)
Abe, A., Hagita, N., Furutani, M., Furutani, Y., Matsuoka, R.: An interface for medical diagnosis support. In: Apolloni, B., Howlett, R.J., Jain, L. (eds.) KES 2007, Part II. LNCS (LNAI), vol. 4693, pp. 909–916. Springer, Heidelberg (2007)
Abe, A., Hagita, N., Furutani, M., Furutani, Y., Matsuoka, R.: Possibility of Integrated Data Mining of Clinical Data. Data Science Journal 6(suppl.), S104–S115 (2007)
Abe, A., Hagita, N., Furutani, M., Furutani, Y., Matsuoka, R.: Data mining of Multi-categorized Data. In: Raś, Z.W., Tsumoto, S., Zighed, D.A. (eds.) MCD 2007. LNCS (LNAI), vol. 4944, pp. 209–220. Springer, Heidelberg (2008)
Agrawal, R., Imielinski, T., Swami, A.: Mining association rules between sets of items in large databases. In: Proc. of ACM SIGMOD Int’l Conf. on Management of Data, pp. 207–216 (1993)
Kobayashi, T., Kawakubo, T.: Prospective Investigation of Tumor Markers and Risk Assessment in Early Cancer Screening. Cancer 73(7), 1946–1953 (1994)
Osawa, Y., McBurney, P. (eds.): Chance Discovery. Springer, Heidelberg (2003)
Quinlan, J.R.: C4.5: Programs for Machine Learning. Morgan Kaufman, San Francisco (1993)
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Abe, A., Hagita, N., Furutani, M., Furutani, Y., Matsuoka, R. (2008). Exceptions as Chance for Computational Chance Discovery. In: Lovrek, I., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2008. Lecture Notes in Computer Science(), vol 5178. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85565-1_93
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DOI: https://doi.org/10.1007/978-3-540-85565-1_93
Publisher Name: Springer, Berlin, Heidelberg
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