The "top N Groups" Method used to mine the Empirical Formula Based on Apriori Algorithm

Based on Apriori algorithm, establish a method for mining the medical empirical formula. Procedures and Methods: input the 1,632 medical records of Chen Shouqiang, Associate Chief Physician, into the electronic medical records management system; mine the high-frequency combination of traditional Chi...

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Bibliographic Details
Main Authors: Xu, Liang, Chen, Shou-Qiang, Bi, Si-Ling, Bi, Wen-Xia
Format: Conference Proceeding
Language:English
Subjects:
Apriori algorithm
Blood
Data mining
Diseases
distinguished veteran doctors of TCM
empirical formula
Heart
Medical diagnostic imaging
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Summary:Based on Apriori algorithm, establish a method for mining the medical empirical formula. Procedures and Methods: input the 1,632 medical records of Chen Shouqiang, Associate Chief Physician, into the electronic medical records management system; mine the high-frequency combination of traditional Chinese medicine for treatment of coronary heart disease via the Apriori algorithm; take the combination with most kinds of herbal medicines as the motherboard, and then add Chinese medicine different from what included in the top N groups of high-frequency combinations of traditional Chinese medicine; thus we can sum up the empirical formula. Results: the empirical formula mined consists of 12 herbs (i.e. rhizome of Ligusticum wallichii, salvia miltiorrhiza, tuber of dwarf lilyturf, Costustoot, licorice Roots Northwest Origin, Schisandra chinensis, Coptis chinensis, Scutellaria baicalensis, charred triplet, fructus forsythiae, cuttlebone and radix astragali), which is similar with the chest stuffiness No. 2 formula commonly used in clinic. Conclusion: This method has some significance in the experience heritage of distinguished veteran doctors of TCM, and it is worth promoting.
ISSN:2474-3828
DOI:10.1109/ITME.2019.00172