| 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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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| 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. |
| Keyword(in Japanese) | (See Japanese page) |
| 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 |
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| Conference Date | 2003/9/7(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
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| Vice Chair | |
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| Paper Information | |
| Registration To | Artificial Intelligence and Knowledge-Based Processing (AI) |
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| 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 | |