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

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

研究成果: Conference contribution

4 被引用数 (Scopus)

抄録

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.

本文言語English
ホスト出版物のタイトルActive Mining - Second International Workshop, AM 2003, Revised Selected Papers
出版社Springer Verlag
ページ312-335
ページ数24
ISBN(印刷版)3540261575, 9783540261575
DOI
出版ステータスPublished - 2005
イベントSecond International Workshop on Active Mining, AM 2003 - Maebashi, Japan
継続期間: 2003 10 282003 10 31

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
3430 LNAI
ISSN(印刷版)0302-9743
ISSN(電子版)1611-3349

Other

OtherSecond International Workshop on Active Mining, AM 2003
CountryJapan
CityMaebashi
Period03/10/2803/10/31

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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