2024-03-29T22:53:22Zhttps://ipsj.ixsq.nii.ac.jp/ej/?action=repository_oaipmhoai:ipsj.ixsq.nii.ac.jp:000502702024-03-29T05:26:34Z01164:04402:04422:04423
Multi - aspect Hepatitis Data AnalysisMulti - aspect Hepatitis Data Analysisenghttp://id.nii.ac.jp/1001/00050270/Technical Reporthttps://ipsj.ixsq.nii.ac.jp/ej/?action=repository_action_common_download&item_id=50270&item_no=1&attribute_id=1&file_no=1Copyright (c) 2004 by the Information Processing Society of JapanDepartment of Information Engineering Maebashi Institute of TechnologyDepartment of Information Engineering Maebashi Institute of TechnologyDepartment of Information Engineering Maebashi Institute of TechnologySchool of Medicine Chiba UniversityYASUO, FUJITAMUNEAKI, OHSHIMANING, ZHONGHIDETO, YOKOIIFNを慢性肝炎患者に対して使うとき,さまざまな概念知識やルールは治療に有益である.本論文では,現在進行中である研究,さまざまな分類ルール発見のための帰納学習システムGDT-RSや,データの特徴を発見するLOIなどのデータマイニングエージェントを用いた肝炎データの多面的分析,について述べる. また,多面的分析の手法を用い,一面的なデータ解析から全体的なデータ解析に変わったことで,医師の見解が変わったことを示す.When IFN (interferon) is used for chronic hepatitis patients, various conceptual knowledge/rules will benefit for giving a treatment. In this paper, we describe an ongoing work on using various data mining agents including the GDT-RS inductive learning system for discovering classification rules, and the LOI (learning with ordered information) for discovering important features, in a multi-phase process for multi-aspect analysis of the hepatitis data. Our methodology and experimental results show that the perspective of doctors will be changed from a single type of experimental data analysis towards a holistic view, by using our multi-aspect mining approach.AA11135936情報処理学会研究報告知能と複雑系(ICS)2004125(2004-ICS-138)49542004-12-042009-06-30