TY - GEN
T1 - Proposal of medical KDD support user interface utilizing rule interestingness measures
AU - Ohsaki, Miho
AU - Abe, Hidenao
AU - Tsumoto, Shusaku
AU - Yokoi, Hideto
AU - Yamaguchi, Takahira
PY - 2006
Y1 - 2006
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=57349083515&partnerID=8YFLogxK
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U2 - 10.1109/icdmw.2006.137
DO - 10.1109/icdmw.2006.137
M3 - Conference contribution
AN - SCOPUS:57349083515
SN - 0769527027
SN - 9780769527024
T3 - Proceedings - IEEE International Conference on Data Mining, ICDM
SP - 759
EP - 764
BT - Proceedings - ICDM Workshops 2006 - 6th IEEE International Conference on Data Mining - Workshops
PB - Institute of Electrical and Electronics Engineers Inc.
ER -