Abstract
had the highest prediction rate with 24.31%, followed by Canberra distance (23.14%) and association strength (21.29%). Conclusion: The weighted Euclidean distance among the set-theoretic measures and the association strength among the probabilistic measures were verified to be the most efficient analysis methods in analyzing the correlation between acupoints andpathologies found in the classicalmedical texts. Contact: Junho Oh, junho@kiom.re.kr
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