Evaluation of rule interestingness measures in medical knowledge discovery in databases

Abstract

OBJECTIVE We discuss the usefulness of rule interestingness measures for medical KDD through experiments using clinical datasets, and, based on the outcomes of these experiments, also consider how to utilize these measures in postprocessing. METHODS AND MATERIALS We first conducted an experiment to compare the evaluation results derived from a total of 40… (More)
DOI: 10.1016/j.artmed.2007.07.005

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@article{Ohsaki2007EvaluationOR, title={Evaluation of rule interestingness measures in medical knowledge discovery in databases}, author={Miho Ohsaki and Hidenao Abe and Shusaku Tsumoto and Hideto Yokoi and Takahira Yamaguchi}, journal={Artificial intelligence in medicine}, year={2007}, volume={41 3}, pages={177-96} }