Abstract
In order to select the best interestingness measure appropriate for evaluating the correlation between syndrome elements and symptoms, 60 objective interestingness measures were selected from different subjects. Firstly, a hypothesis for a good measure was proposed. Based on the hypothesis, an experiment was designed to evaluate the measures. The experiment was based on the clinical record database of past dynasties including 51,186 clinical cases. The selected dataset in this study had 44,600 records. Han and Re were selected as the experimental syndrome elements. Three indicators calculated according to the distances between two syndrome elements were obtained in the experiment and were combined into one indicator. The Z score, φ-coefficient and Kappa were selected from 60 measures after the experiment. The Z score and φ- coefficient were selected according to subjective interestingness. Finally, the φ- coefficient was selected as the best measure for its low computational complexity. The method introduced in this paper may be used in other similar territories. Further research of traditional Chinese medicine can be made based on the conclusion made in this paper.
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Zhang, L., Zhang, Qm., Wang, Yg., Yu, Dl. (2012). Selecting an Appropriate Interestingness Measure to Evaluate the Correlation between Syndrome Elements and Symptoms. In: Cao, L., Huang, J.Z., Bailey, J., Koh, Y.S., Luo, J. (eds) New Frontiers in Applied Data Mining. PAKDD 2011. Lecture Notes in Computer Science(), vol 7104. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28320-8_32
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DOI: https://doi.org/10.1007/978-3-642-28320-8_32
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