Presentation 2003/9/8
Investigation of Rule Interestingness in Medical Data Mining
Miho OHSAKI, Yoshinori SATO, Shinya KITAGUCHI, Hideto YOKOI, Takahira YAMAGUCHI,
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Abstract(in English) This research experimentally investigates the performance of conventional rule interestingness measures and discusses their availability to supporting KDD through system-human interaction. We compared the evaluation results by a medical expert and that by several selected measures for the rules discovered from the medical test data on chronic hepatitis. The measure on antecedent-consequent dependency using all instances showed the highest performance, and ones on the both of dependency and generality the lowest under this experimental condition. The whole trend of the experimental results indicated that the measures detected really interesting rules at a certain level and offered us the rough guideline to apply them to system-human interaction.
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Keyword(in English) Medical Data Mining / Time Series / Rule Interestingness / System-Human Interaction / Chronic Hepatitis
Paper # AI2003-44
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Committee AI
Conference Date 2003/9/8(1days)
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Registration To Artificial Intelligence and Knowledge-Based Processing (AI)
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Investigation of Rule Interestingness in Medical Data Mining
Sub Title (in English)
Keyword(1) Medical Data Mining
Keyword(2) Time Series
Keyword(3) Rule Interestingness
Keyword(4) System-Human Interaction
Keyword(5) Chronic Hepatitis
1st Author's Name Miho OHSAKI
1st Author's Affiliation Faculty of Information, Shizuoka University:Graduate School of Information, Sizuoka University()
2nd Author's Name Yoshinori SATO
2nd Author's Affiliation Faculty of Information, Shizuoka University:Graduate School of Information, Sizuoka University
3rd Author's Name Shinya KITAGUCHI
3rd Author's Affiliation Faculty of Information, Shizuoka University:Graduate School of Information, Sizuoka University
4th Author's Name Hideto YOKOI
4th Author's Affiliation Department of Medical Informatics, Chiba University Hospital
5th Author's Name Takahira YAMAGUCHI
5th Author's Affiliation Faculty of Information, Shizuoka University:Graduate School of Information, Sizuoka University
Date 2003/9/8
Paper # AI2003-44
Volume (vol) vol.103
Number (no) 305
Page pp.pp.-
#Pages 6
Date of Issue