数据挖掘技术在中医治疗不寐的应用系统综述

Systematic Summarize on Application Situation of Data Mining Research of Traditional Chinese Medicine Treating Insomnia

[主要目的]数据挖掘技术在中医治疗不寐的应用。[资料来源]主题词与自由词结合检索CNKI、VIP、Wanfang data、Pubmed、MEDLINE数据库,检索时间:建库至2016年6月。同时追溯纳入文献参考文献。[选择文献量及依据]1以数据挖掘技术研究中医治疗不寐相关文献。2治疗不寐的古代文献或现代文献的相关研究。3中医治疗不寐临床研究。排除1非中医疗法文献。2中西医结合的疗法的文献。3非用数据挖掘方法研究中医治疗不寐文献。4重复发表文献。[数据提炼规则及应用方法]由2名研究者根据纳入标准和排除标准对文献进行独立筛选、提取资料并交叉核对,如遇分歧则讨论解决或征求第三方意见,缺乏的资料尽量与作者联系补充。筛选时首先阅读文献标题及摘要,排除明显不相关文献,进一步阅读全文再确定是否纳入文献。采用自制资料提取表,提取文献发表时间、研究方向、数据挖掘软件及数据挖掘算法。[数据综合得出结果与结论]治疗不寐数据挖掘相关文献37篇,文献发表量呈上升趋势;药物组成规律32篇,占86.5%;针灸取穴规律4篇,占10.8%;研究病位1篇,占2.7%;频数分析和关联规则分析为使用频率最高计算方法;中医传承辅助系统为使用率最高的软件。数据挖掘技术在中医治疗不寐的研究中使用的越来越多,但对针灸取穴规律的研究较少,仍需要继续研究。[未来展望]传统中医与现代数据结合研究中医治疗疾病已成为一种趋势,将对临床工作提供更有依据的治疗方法。

[Objective] The application status of data mining research of Traditional Chinese Medicine （TCM） treating insomnia. [Data source] Searched CNKI, VIP, Wanfang, Pubmed, MEDLINE with subject and free word, the search time was from the beginning of the bases to 06.2016, and reviewed the literatures and references. [How to choose the literatures] ①The literatures were about the study of data mining research on Traditional Chinese Medicine treating insomnia.②The content was the study of treating insomnia of ancient or modern literatures.③The content was clinic study of treating insomnia by TCM. Reject.①Yrhe literatures were not on TCM.②The literatures were on combination of TCM and western medicine.③The literatures were on TCM without data mining.④The reduplicate literatures. [How to extract and use the data] The 2 researchers sifted, extracted and checked the data independently based on standard of acception and rejection, ff there was difference, discussed to solve it or asked the third researcher to give some advice, if the data of literatures was not completed, tried to contact with the writers to supply. When sifted the literatures, first read tittle and abstract, rejected the obviously useless literatures, then read the whole literatures to decide ff it was accepted. Extracted the data, the published time, the study direction, the software what used and the arithmetic of data mining which used were contented. [Results and conclusion] 37 articles were obtained. The amount of literatures increased year by year. 32 articles of the research on medicine using accounted for 86.5%; 4 articles of the research on acupuncture and moxibustion accounted for 10.8%; 1 article of the research on viscera accounted for 2.7%; The association rules and frequency analysis were the most frequently used in calculation methods; TCM Inherit Auxiliary System was the most frequently used software tool. Data mining technology is used more and more frequent on research of TCM treating insomnia, but less on acupuncture and moxibustion treating insomnia, still need to study. [Looking into the future] Today combining TCM and modern data have been trend to study how to treat diseases with TCM, it will improve more evidenced method for clinic workers.