Proposal of Medical KDD Support User Interface Utilizing Rule Interestingness Measures

Author

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

Author_Institution

Fac. of Eng., Doshisha Univ., Kyotanabe

fYear

2006

fDate

Dec. 2006

Firstpage

759

Lastpage

764

Abstract

This paper discusses the utilization of rule interestingness measures in medical KDD. The authors 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

Keywords

data mining; medical computing; user interfaces; clinical datasets; human interest; knowledge discovery in databases; medical KDD; medical knowledge; rule interestingness measures; support user interface; Biomedical engineering; Biomedical informatics; Databases; Hospitals; Humans; Liver diseases; Particle measurements; Proposals; Prototypes; User interfaces;

fLanguage

English

Publisher

ieee

Conference_Titel

Data Mining Workshops, 2006. ICDM Workshops 2006. Sixth IEEE International Conference on

Conference_Location

Hong Kong

Print_ISBN

0-7695-2702-7

Type

conf

DOI

10.1109/ICDMW.2006.137

Filename

4063727