Presentation 2004/11/27
Disease Definition Based on Spiral Discovery of Exceptions(Medical Active Mining)(Joint Workshop of Vietnamese Society of AI, SIGKBS-JSAI, ICS-IPSJ, and IEICE-SIGAI on Active Mining)
MASATOSHI JUMI, EINOSHIN SUZUKI, MUNEAKI OHSHIMA, NING ZHONG, HIDETO YOKO, KATSUHIKO TAKABAYASHI,
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Abstract(in English) In this paper, we show our endeavor for defining a disease by removing exceptional patients in a spiral manner. The removal is based on a likelihood-based criterion and can be sup-ported by our previously developed data mining methods and medical experts. Two series of experiments with the chronic hepatitis data showed that our proposed method is effective and promising from various viewpoints.
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Paper # AI2004-25
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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) Disease Definition Based on Spiral Discovery of Exceptions(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 MASATOSHI JUMI
1st Author's Affiliation Yokohama National University()
2nd Author's Name EINOSHIN SUZUKI
2nd Author's Affiliation Yokohama National University
3rd Author's Name MUNEAKI OHSHIMA
3rd Author's Affiliation Maebashi Institute of Technology
4th Author's Name NING ZHONG
4th Author's Affiliation Maebashi Institute of Technology
5th Author's Name HIDETO YOKO
5th Author's Affiliation Chiba University Hospital
6th Author's Name KATSUHIKO TAKABAYASHI
6th Author's Affiliation Chiba University Hospital
Date 2004/11/27
Paper # AI2004-25
Volume (vol) vol.104
Number (no) 485
Page pp.pp.-
#Pages 6
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