Proposal of medical KDD support user interface utilizing rule interestingness measures

Miho Ohsaki, Hidenao Abe, Shusaku Tsumoto, Hideto Yokoi, Takahira Yamaguchi

研究成果: Conference contribution

4 被引用数 (Scopus)

抄録

This paper discusses the utilization of rule interestingness measures in medical KDD. We selected various interestingness measures and conducted experiments using clinical datasets to examine how they can estimate real human interest. The results indicate that some of them have a stable, reasonable estimation performance and the combinational use of interestingness measures will contribute to medical KDD. We then developed a prototype of medical KDD support user interface based on the experimental outcomes. We conducted a case study in which a medical expert tried to discover medical knowledge with the prototype. Some interesting rules were actually obtained and that indicates the potential of the user interface.

本文言語English
ホスト出版物のタイトルProceedings - ICDM Workshops 2006 - 6th IEEE International Conference on Data Mining - Workshops
出版社Institute of Electrical and Electronics Engineers Inc.
ページ759-764
ページ数6
ISBN(印刷版)0769527027, 9780769527024
DOI
出版ステータスPublished - 2006

出版物シリーズ

名前Proceedings - IEEE International Conference on Data Mining, ICDM
ISSN(印刷版)1550-4786

ASJC Scopus subject areas

  • Engineering(all)

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