Presentation 2004/11/27
Multi-aspect Hepatitis Data Analysis(Medical Active Mining)(Joint Workshop of Vietnamese Society of AI, SIGKBS-JSAI, ICS-IPSJ, and IEICE-SIGAI on Active Mining)
YASUO FUJITA, MUNEAKI OHSHIMA, NlNG ZHONG, HIDETO YOKOI,
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Abstract(in English) When IFN (interferon) is used for chronic hepatitis patients, various conceptual knowledge/rules will benefit for giving a treatment. In this paper, we describe an ongoing work on using various data mining agents including the GDT-RS inductive learning system for discovering classification rules, and the LOI (learning with ordered information) for discovering important features, in a multi-phase process for multi-aspect analysis of the hepatitis data. Our methodology and experimental results show that the perspective of doctors will be changed from a single type of experimental data analysis towards a holistic view, by using our multi-aspect mining approach.
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Paper # AI2004-27
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Committee AI
Conference Date 2004/11/27(1days)
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Language ENG
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Title (in English) Multi-aspect Hepatitis Data Analysis(Medical Active Mining)(Joint Workshop of Vietnamese Society of AI, SIGKBS-JSAI, ICS-IPSJ, and IEICE-SIGAI on Active Mining)
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1st Author's Name YASUO FUJITA
1st Author's Affiliation Department of Information Engineering, Maebashi Institute of Technology()
2nd Author's Name MUNEAKI OHSHIMA
2nd Author's Affiliation Department of Information Engineering, Maebashi Institute of Technology
3rd Author's Name NlNG ZHONG
3rd Author's Affiliation Department of Information Engineering, Maebashi Institute of Technology
4th Author's Name HIDETO YOKOI
4th Author's Affiliation School of Medicine, Chiba University
Date 2004/11/27
Paper # AI2004-27
Volume (vol) vol.104
Number (no) 485
Page pp.pp.-
#Pages 6
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