부산대학교 도서관

There are issues with the mining of association rules of traditional Chinese medicine prescriptions, such as unclear rule strength, incomplete decision analysis, and low practicability. This paper introduces the concept of interest degree and negative association rules, as well as combining positive association rules to analyze traditional Chinese medicine comprehensively. The strength of the rules is determined by the correlation hidden in the prescription. In this paper, an improved correlation interest degree measure is introduced, which effectively improves the uneven value range of commonly used interest measure measures, lacks zero invariance, and is prone to contradictory rules. Experiments reveal that the algorithm can more precisely differentiate between positive and negative rules as well as strong and weak rules, thereby enhancing the efficacy and applicability of prescription association rules.