Mining the medication rules of traditional Chinese medicine for thyroid diseases based on improved association rule algorithm

Kankan She; Wenmin Yang

doi:10.1117/12.2683534

26 June 2023 Mining the medication rules of traditional Chinese medicine for thyroid diseases based on improved association rule algorithm

Kankan She, Wenmin Yang

Author Affiliations +

Proceedings Volume 12721, Second International Symposium on Computer Applications and Information Systems (ISCAIS 2023); 127211B (2023) https://doi.org/10.1117/12.2683534
Event: 2023 2nd International Symposium on Computer Applications and Information Systems (ISCAIS 2023), 2023, Chengdu, China

Abstract

In order to mine the medication rules of traditional Chinese medicine in treating thyroid diseases and analyze the performance of association rule algorithm in traditional Chinese medicine data, the improved Apiori algorithm based on transaction compression technology and hash technology is introduced. Furthermore, an improved FP-growth algorithm is proposed in view of the characteristics of more transaction duplicates and longer single transaction in the TCM data transaction database. Combined with these improved association rule algorithms, the data mining analysis of traditional Chinese medicine is carried out, and the algorithm time efficiency diagram is drawn to analyze the algorithm efficiency. The results show that the mining results of association rules of all algorithms are consistent, which reflects the basic treatment principles of TCM in treating thyroid diseases by regulating phlegm and eliminating galls.

Citation Download Citation

Kankan She and Wenmin Yang "Mining the medication rules of traditional Chinese medicine for thyroid diseases based on improved association rule algorithm", Proc. SPIE 12721, Second International Symposium on Computer Applications and Information Systems (ISCAIS 2023), 127211B (26 June 2023); https://doi.org/10.1117/12.2683534

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