Proposal of Medical KDD Support User Interface Utilizing Rule Interestingness Measures

Hong Kong, China December 18-December 22

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http://doi.ieeecomputersociety.org/10.1109/ICDMW.2006.137

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	Miho Ohsaki, Hidenao Abe, Shusaku Tsumoto, Hideto Yokoi, Takahira Yamaguchi, "Proposal of Medical KDD Support User Interface Utilizing Rule Interestingness Measures," Data Mining Workshops, International Conference on, pp. 759-764, Sixth IEEE International Conference on Data Mining - Workshops (ICDMW'06), 2006.

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	@article{ 10.1109/ICDMW.2006.137, author = {Miho Ohsaki and Hidenao Abe and Shusaku Tsumoto and Hideto Yokoi and Takahira Yamaguchi}, title = {Proposal of Medical KDD Support User Interface Utilizing Rule Interestingness Measures}, journal ={Data Mining Workshops, International Conference on}, volume = {0}, year = {2006}, isbn = {0-7695-2702-7}, pages = {759-764}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICDMW.2006.137}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Data Mining Workshops, International Conference on TI - Proposal of Medical KDD Support User Interface Utilizing Rule Interestingness Measures SN - 0-7695-2702-7 SP759 EP764 A1 - Miho Ohsaki, A1 - Hidenao Abe, A1 - Shusaku Tsumoto, A1 - Hideto Yokoi, A1 - Takahira Yamaguchi, PY - 2006 KW - null VL - 0 JA - Data Mining Workshops, International Conference on ER -

Miho Ohsaki, Doshisha University

Hidenao Abe, Shimane University

Shusaku Tsumoto, Shimane University

Hideto Yokoi, Kagawa University Hospital

Takahira Yamaguchi, Keio University

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.

Citation:

Miho Ohsaki, Hidenao Abe, Shusaku Tsumoto, Hideto Yokoi, Takahira Yamaguchi, "Proposal of Medical KDD Support User Interface Utilizing Rule Interestingness Measures," icdmw, pp.759-764, Sixth IEEE International Conference on Data Mining - Workshops (ICDMW'06), 2006

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