論理回帰分析法による脳機能画像からの知識の発見

• 森田 千絵

  (株)東芝

• 柿元 満

  (株)東芝

• 菊池 吉晃

  東京都立保健科学大学

• 月本 洋

  (株)東芝

書誌事項

タイトル別名

• Knowledge Discovery from Functional Brain Images by Logical Regression Analysis
• ロンリ カイキ ブンセキホウ ニ ヨル ノウ キノウ ガゾウ カラ ノ チシキ ノ ハッケン

抄録

As a result of the ongoing development of non-invasive analysis of brain function, detailed brain images can be obtained, from which the relations between brain areas and brain functions can be understood. The relations between brain areas and brain functions are described by rules. Knowledge discovery from functional brain images is knowledge discovery from pattern data, which is a new field different from knowledge discovery from symbolic data or numerical data. We have been developing a new method called Logical Regression Analysis. The Logical Regression Analysis consists of two steps. The first step is a regression analysis. The second stepis rule extraction from the regression formula obtained by the regression analysis. In this paper, we apply the Logical Regression Analysis to functional brain images to discover relations between a brain function and brain areas. We use nonparametric regression analysis as a regression analysis, since there are not sufficient data to obtain linear formulas using conventional linear regression from functional brain images. Experimental results show that the algorithm works well for real data.

収録刊行物

• 人工知能学会論文誌

  人工知能学会論文誌 16 212-219, 2001

  一般社団法人 人工知能学会

キーワード

• brain
• functional brain images
• knowledge discovery
• fMRI
• Logical Regression Analysis
• KDD
• datamining

詳細情報

• CRID: 1390001205108173824
• NII論文ID: 10015769854
• NII論文ID: 10013137510
• NII書誌ID: AA11579226
• DOI: 10.1527/tjsai.16.212
• ISSN: 13468030
• ISSN: 13460714
• NDL書誌ID: 5987105
• Web Site: https://ndlsearch.ndl.go.jp/books/R000000004-I5987105
• Web Site: http://www.jstage.jst.go.jp/article/tjsai/16/2/16_2_212/_pdf
• 本文言語コード: ja
• データソース種別:
  • JaLC
  • NDL
  • Crossref
  • CiNii Articles
• 抄録ライセンスフラグ: 使用不可