Exploiting Temporal Relations in Mining Hepatitis Data |
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Authors: | Tu-Bao Ho Canh-Hao Nguyen Saori Kawasaki Si-Quang Le Katsuhiko Takabayashi |
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Affiliation: | 1.Japan Advanced Institute of Science and Technology,Nomi, Ishikawa,Japan;2.Chiba University Hospital,Inohana, Chuo-ku,Japan |
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Abstract: | Various data mining methods have been developed last few years for hepatitis study using a large temporal and relational database
given to the research community. In this work we introduce a novel temporal abstraction method to this study by detecting
and exploiting temporal patterns and relations between events in viral hepatitis such as “event A slightly happened before
event B and B simultaneously ended with event C”. We developed algorithms to first detect significant temporal patterns in
temporal sequences and then to identify temporal relations between these temporal patterns. Many findings by data mining methods
applied to transactions/graphs of temporal relations shown to be significant by physician evaluation and matching with published
in Medline. |
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Keywords: | |
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