Cooperative scenario mining from blood test data of hepatitis B and C

Yukio Ohsawa, Hajime Fujie, Akio Saiura, Naoaki Okazaki, Naohiro Matsumura

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)


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.

Original languageEnglish
Title of host publicationActive Mining - Second International Workshop, AM 2003, Revised Selected Papers
PublisherSpringer Verlag
Number of pages24
ISBN (Print)3540261575, 9783540261575
Publication statusPublished - 2005
Externally publishedYes
EventSecond International Workshop on Active Mining, AM 2003 - Maebashi, Japan
Duration: 2003 Oct 282003 Oct 31

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3430 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


OtherSecond International Workshop on Active Mining, AM 2003

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)


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