| 引用本文:杨艳平1,2.基于数据挖掘的治疗银屑病处方用药规律研究[J].世界中医药,2015,10(10):. |
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| 基于数据挖掘的治疗银屑病处方用药规律研究 |
| General Medication Observation on Psoriasis Prescription Drug Based on Data Mining |
| 投稿时间：2014-06-10 |
| DOI：10.3969/j.issn.1673-7202.2015.10.041 |
| 中文关键词: 银屑病 中医传承辅助系统 关联规则 聚类算法 |
| English Keywords:Traditional Chinese medicine Psoriasis Data mining Apriori algorithm |
| 基金项目: |
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| 中文摘要: |
| 目的：基于中医传承辅助系统软件，分析各医家治疗银屑病的用药经验。方法：收集了3本中医文献中治疗银屑病的病案，采用关联规则Apriori算法、复杂系统熵聚类等无监督数据挖掘方法，分析处方中药物的使用频次及药物之间的关联规则、处方规律。结果：对筛选出来的133首处方进行分析，确定处方中药物的使用频次，药物之间的关联规则，挖掘出20个核心药物组合和10首新处方。结论：基于中医传承辅助系统平台开展的中药治疗银屑病的数据挖掘和用药规律研究，既可有效指导银屑病的中医临床治疗，同时为防治银屑病的新药开发提供参考。 |
| English Summary: |
| To observe and analyze the general drugs used in treating psoriasis based on reference reading and the application of Traditional Chinese Medicine Inheritance support software. Methods: Three books recorded the medication of psoriasis are referred to analyze the utilizing frequency of the prescription drugs and association rules among different formulas. Data mining research methods such as Apriori algorithm, based on association rules, complex system entropy cluster and unsupervised hierarchical cluster were used. Results: From the 133 screened prescriptions, the utilizing frequency of the prescription drugs and association rules among different medicines were achieved, and also 20 core drug combinations and 10 new prescriptions were found. Conclusion: This research, which is based on Traditional Chinese Medicine Inheritance support software and data mining method is instructive to clinical treatment of psoriasis and helpful to develop new drugs on psoriasis. |
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