Yang Yang,Cui Meng,Tian Ye,et al.A Comparative Study on Data Mining Results of 664 Metrorrhagia Medical Records and Traditional Knowledge[J].Chinese Journal of Library and Information Science for Traditional Chinese Medicine,2014,38(5):5-8.[doi:10.3969/j.issn.2095-5707.2014.05.002]
664例崩漏医案信息挖掘结果与传统知识比较研究
- Title:
- A Comparative Study on Data Mining Results of 664 Metrorrhagia Medical Records and Traditional Knowledge
- 文献标志码:
- A
- 摘要:
- 目的 对664例崩漏医案信息挖掘结果与传统知识进行比较研究。方法 对664例崩漏医案，利用关联分析技术，挖掘高频中药组、高频症状+中药组、高频证型+中药组的规律，并与传统知识进行比对。结果 中药高频组的符合率是88.9%，中药+症状高频组的符合率是45.0%，中药+证型高频组的符合率是100%，同时获得未在传统经典理论中直接表述的知识。结论 利用信息挖掘技术发现中医药信息规律是切实可行的，可作为传统知识总结的补充与参考，所发现的结果可以为临床医师提供处方参考。
- Abstract:
- Objective To carry out a comparative study on data mining results of 664 metrorrhagia medical records and traditional knowledge. Methods Laws among Chinese herbs of high-frequency group, symptoms of high-frequency & Chinese herbs group, and syndromes of high-frequency & Chinese herbs group were researched based on 664 metrorrhagia medical records by using association analysis technology, and they were compared with traditional knowledge. Results The coincidence rate was 88.9% in the Chinese herbs of high-frequency group, 45% in the symptoms of high-frequency & Chinese herbs group, and 100% in the syndromes of high-frequency & Chinese herbs group. Meanwhile, knowledge which was not stated directly in the traditional classical theories was acquired. Conclusion It is practical to detect the laws of information on traditional Chinese medicine by using data-mining technology, which can be the supplement and reference for summary of traditional knowledge, and the data-mining results can serve as the reference for the clinicians’ prescription.
参考文献/References:
[1]国家中医药管理局.中医病证诊断疗效标准[M].南京：南京大学出版社,1994.
[2]国家药典委员会.中华人民共和国药典：一部[S].北京：化学工业出版社,2005.
[3]江苏新医学院.中药大辞典[M].上海：上海科学技术出版社,1977.
[4]国家中医药管理局《中华本草》编委会.中华本草[M].上海：上海科学技术出版社,1999.
[5]吴兰成.中国中医药学主题词表[M].北京：中医古籍出版社,1996.
[6]邓铁涛.中医诊断学[M].上海：上海科学技术出版社, 2002.
[7]李经纬.简明中医辞典（修订本）[M].北京：中国中医药出版社,2001.
[8]谭月来，刘庆林.常用中药配对与禁忌[M].太原：山西科学技术出版社,2003.
[9]冉懋雄.现代中药炮制手册[M].北京：中国中医药出版社, 2002:1.
[10]高学敏.中药学[M].北京：人民卫生出版社,2000.
[11]雷载权，张廷禧.中华临床中药学[M].北京：人民卫生出版社,1998.
[12]欧阳兵.中医诊法学[M].北京：中国医药科技出版社, 2002.
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备注/Memo
收稿日期：2014-04-08
基金项目：国家自然科学基金青年科学基金（81303068）
第一作者：杨阳，助理研究员，研究方向：中医药信息。E-mail: sanyangkt@126.com
*通讯作者：李园白，副研究员，研究方向：中医药信息。E-mail: liyuanbai126@126.com
更新日期/Last Update:
2014-09-28