Evaluation of rule interestingness measures in medical knowledge discovery in databases
Evaluation of rule interestingness measures in medical knowledge discovery in databases
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DOI：
10.1016/j.artmed.2007.07.005
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发表时间：
2007-11-01
影响因子：
7.5
通讯作者：
Yamaguchi, Takahira
中科院分区：
文献类型：
--
作者：
Ohsaki, Miho;Hidenao, Abe;Yamaguchi, Takahira
目的：我们通过使用临床数据集的实验讨论规则兴趣度度量在医学KDD中的有用性，并且基于这些实验的结果，还考虑如何在后处理中利用这些度量。方法和材料：我们首先进行了一个实验，以比较从总共40种不同的兴趣度测量中得出的评估结果与由医学专家提供的用于在临床实验中发现的规则的评估结果。关于脑膜炎的数据集我们计算并比较了每种兴趣度度量的性能，以使用f-度量和相关系数来估计医学专家的兴趣。结果与结论：对脑膜炎和肝炎的综合实验结果表明，兴趣度、准确度、单象限卡方度量、相对风险、未发现的阴性和特异性等指标在医学领域中对真实的人类兴趣的估计中具有稳定、合理的性能。研究结果还表明，医学专家的假设的确定性的影响，和组合使用的兴趣度措施将有助于支持医学专家产生和确认他们的假设，通过人机交互的性能。(c)2007 Elsevier B. V.保留所有权利。
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 various interestingness measures with those supplied by a medical expert for rules discovered in a clinical dataset on meningitis. We calculated and compared the performance of each interestingness measure to estimate a medical expert's interest using f-measure and correlation coefficient. We then conducted a similar experiment for hepatitis.Results and conclusion: The comprehensive results of experiments on meningitis and hepatitis indicate that the interestingness measures, accuracy, chi-square measure for one quadrant, relative risk, uncovered negative, and peculiarity, have a stable, reasonable performance in estimating real human interest in the medical domain. The results also indicate that the performance of interestingness measures is influenced by the certainty of a hypothesis made by the medical expert, and that the combinational use of interestingness measures will contribute to support medical experts to generate and confirm their hypotheses through human-system interaction. (c) 2007 Elsevier B.V. All rights reserved.