Abstract:

Objective To explore the dialectical classification of insomnia and the potential laws of points selection in the treatment of insomnia by using data mining.Methods The literature on acupoint massage therapy for insomnia in PubMed,Web of science,CNKI,Wan Fang Data,CBM were searched by computer,and it was ranged from the time of the estabilishment of databases to November 15,2020. Excel was used to establish acupoint database of acupoint massage for insomnia;the Apriori section provided by SPSS Modeler18.0 is used to analyze and describe the association rules among various acupoints. Results Totally 137 documents,involving 97 acupuncture points,were included;most points are distributed on the head and face. The most common points were Point Baihui,Point Taiyang,Point Shenmen,Point Yintang. Most of the points are distributed in the urinary bladder channel of Foot-Taiyang（18.5%） and Governor Vessel（14.8%）. In the dialectical classification of insomnia treated by acupoint massage,deficiency syndrome is the main syndrome;heart-spleen deficiency is the main syndrome type,followed by heart-kidney imbalance. In the treatment of insomnia,the most common combination of acupoints is Point Taiyang - Point Yintang and Point Taiyang - Point Yintang - Point Baihui. Conclusion Data mining can effectively explore the common acupoints,main syndrome types and compatibility rules of acupoints in acupoint massage treatment of insomnia,and provide reliable bases for clinical nurses to select acupoints.Compatibility of acupoints conforms to the law of acupoints matching of traditional Chinese medicine,which is mainly based on meridian circulation and combined with syndrome samples,and has a better effect in treating insomnia.

Key words: Insomnia, Acupoint Massage, Data Mining, Law of Selecting Acupoints, Nursing（TCM）

摘要：

目的 利用数据挖掘技术,了解穴位按摩治疗失眠的主要辩证分型及选穴配伍规律,为失眠患者的穴位按摩提供参考依据。方法 计算机检索PubMed、Web of Science、中国知网、万方数据知识服务平台、中国生物医学文献数据库中有关穴位按摩治疗失眠的文献,检索时限为建库至2020年11月15日。使用Excel建立穴位按摩治疗失眠的腧穴数据库,并利用SPSS 25.0对数据库中的腧穴进行频次、频数统计,通过SPSS Modeler 18.0所提供的Apriori版块进行关联规则分析,描述各腧穴之间的配伍关联规律。结果 最终纳入文献137篇,共含腧穴97个,多数腧穴分布在头面部,其中最常用腧穴依次为百会、太阳、神门、印堂,经络以足太阳膀胱经（18.5%）和督脉（14.8%）为主。失眠辩证分型以虚证为主,其中以心脾两虚为主要证型,其次为心肾不交。穴位按摩治疗失眠的常用配伍腧穴为太阳-印堂和太阳-印堂-百会。 结论 数据挖掘可有效分析穴位按摩治疗失眠的常用腧穴、主要证型及腧穴配伍规律,为临床护理人员选穴提供可靠依据。配伍腧穴符合中医“以循经为主,证因标本相结合”的配穴规律,其治疗失眠效果更佳。

关键词: 失眠, 穴位按摩, 数据挖掘, 选穴规律, 中医护理学