Data mining the association rules in outpatient service prescriptions

FU Xiang; YANG Zhang-wei; CHEN Sheng-xin; CHEN Chang-hong; HE Yu-tao; HUANG Xiao-zhong

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Volume 29 Issue 2

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Article Navigation > Journal of Pharmaceutical Practice and Service > 2011 > 29(2): 131-134,160

FU Xiang, YANG Zhang-wei, CHEN Sheng-xin, CHEN Chang-hong, HE Yu-tao, HUANG Xiao-zhong. Data mining the association rules in outpatient service prescriptions[J]. Journal of Pharmaceutical Practice and Service, 2011, 29(2): 131-134,160.

Citation:

FU Xiang, YANG Zhang-wei, CHEN Sheng-xin, CHEN Chang-hong, HE Yu-tao, HUANG Xiao-zhong. Data mining the association rules in outpatient service prescriptions[J]. Journal of Pharmaceutical Practice and Service, 2011, 29(2): 131-134,160.

Data mining the association rules in outpatient service prescriptions

1.
Department of Pharmacy Administration, School of Pharmacy, SMMU, Shanghai 200433,China
2.
Department of Pharmacy, Changhai Hospital, Shanghai 200433,China
3.
Department of Information, Changhai Hospital, Shanghai 200433,China

Received Date: 2010-12-27
Rev Recd Date: 2011-01-07

Abstract

Objective To mine the association rules in and to identify the patterns of the prescription. Methods PASW Modeler 13 was applied to establish Apriori model and analyze the data. Results In 47 132 prescriptions, the drugs for prophylaxis and treatment of some chronic disease were present frequently. Expectorants, cough suppressants and prepared Chinese medicine for "Qing Re Jie Du" played dominant roles in the associations with cephalosporins. Conclusion The data mining technique was able to process and analyze prescription data effectively, which will be widely applicable to drug utilization research.
- prescription,
- association,
- data-mining

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通讯作者: 陈斌, bchen63@163.com

1.
沈阳化工大学材料科学与工程学院沈阳 110142

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