Presentation 2003/9/7
Extracting Diagnostic Knowledge from Hepatitis Data by Decision Tree Graph-Based Induction
Warodom GEAMSAKUL, Tetsuya YOSHIDA, Kouzou OHARA, Hiroshi MOTODA, Takashi WASHIO,
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Abstract(in English) Decision Tree Graph-Based Induction (DT-GBI) is a technique for constructing a decision tree from graph-structured data. In DT-GBI, substructures (discriminative patterns) are extracted by stepwise pair expansion (pair-wise chunking) and used as test attributes at nodes of a decision tree. We applied DT-GBI to a classification task of hepatitis data. In the first experiment, the stages of fibrosis are used as classes and a decision tree is constructed for discriminating patients with F4 (cirrhosis) from patients with the other stages using only the time sequence data of blood inspection. In the second experiment, the types of hepatitis (B and C) are used as classes and a decision tree is constructed by DT-GBI as in the first experiment. The preliminary results of experiments, both constructed decision trees and their predictive accuracies, are reported in this paper.
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Keyword(in English) Data mining / graph-structured data / Decision Tree Graph-Based Induction (DT-GBI)
Paper # AI2003-40
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Conference Information
Committee AI
Conference Date 2003/9/7(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) Extracting Diagnostic Knowledge from Hepatitis Data by Decision Tree Graph-Based Induction
Sub Title (in English)
Keyword(1) Data mining
Keyword(2) graph-structured data
Keyword(3) Decision Tree Graph-Based Induction (DT-GBI)
1st Author's Name Warodom GEAMSAKUL
1st Author's Affiliation Institute of Scientific and Industrial Research, Osaka University()
2nd Author's Name Tetsuya YOSHIDA
2nd Author's Affiliation Institute of Scientific and Industrial Research, Osaka University
3rd Author's Name Kouzou OHARA
3rd Author's Affiliation Institute of Scientific and Industrial Research, Osaka University
4th Author's Name Hiroshi MOTODA
4th Author's Affiliation Institute of Scientific and Industrial Research, Osaka University
5th Author's Name Takashi WASHIO
5th Author's Affiliation Institute of Scientific and Industrial Research, Osaka University
Date 2003/9/7
Paper # AI2003-40
Volume (vol) vol.103
Number (no) 304
Page pp.pp.-
#Pages 6
Date of Issue