Cooperative scenario mining from blood test data of hepatitis b and c

  • Authors:
  • Yukio Ohsawa;Hajime Fujie;Akio Saiura;Naoaki Okazaki;Naohiro Matsumura

  • Affiliations:
  • Graduate School of Business Sciences, University of Tsukuba;Department of Gastroenterology, The University of Tokyo Hospital;Department of Digestive Surgery, Cancer Institute Hospital, Tokyo;Graduate School of Information Science and Technology, The University of Tokyo;Faculty of Economics, Osaka University

  • Venue:
  • AM'03 Proceedings of the Second international conference on Active Mining
  • Year:
  • 2003

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Abstract

Chance discovery, to discover events significant for making a decision, can be regarded as the emergence of a scenario with extracting events at the turning points of valuable scenarios, by means of communications exchanging scenarios in the mind of participants. In this paper, we apply a method of chance discovery to the data of diagnosis of hepatitis patients, for obtaining scenarios of how the most essential symptoms appear in the patients of hepatitis of type B and C. In the process of discovery, the results are evaluated to be novel and potentially useful for treatment, under the mixture of objective facts and the subjective focus of the hepatologists' concerns. Hints of the relation between f iron metabolism and hepatitis cure, the effective condition for using interferon, etc. has got visualized.