| 刘潇林,易可兰,朱文雄,米 惠,袁轶峰.基于数据挖掘技术的耳穴压豆治疗失眠的选穴规律研究[J].,2022,(21):4168-4174 |
| 基于数据挖掘技术的耳穴压豆治疗失眠的选穴规律研究 |
| Research on Acupoint Selection for Insomnia Treated by Auricular Acupoint Pressing Beans Based on Data Mining Technology |
| 投稿时间：2022-04-17 修订日期：2022-05-13 |
| DOI：10.13241/j.cnki.pmb.2022.21.031 |
| 中文关键词: 耳穴压豆 失眠 数据挖掘 选穴规律 |
| 英文关键词: Auricular acupoint pressing beans Insomnia Data mining Acupoint selection rules |
| 基金项目:湖南省自然科学基金面上项目（2020JJ4484）；湖南省教育厅科学研究项目（19C1429） |
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| 中文摘要: |
| 摘要 目的：运用数据挖掘技术探讨耳穴压豆治疗失眠的选穴规律，为失眠的辨证论治提供新思路。方法：计算机检索中国知网、维普、万方数据库关于耳穴压豆或耳穴压豆结合其它干预措施治疗失眠的临床研究文献，筛选符合纳入标准的文献，建立Excel表格对耳穴压豆信息进行提取，对耳穴的证型、使用频次、耳穴组合和相关性等方面进行挖掘和可视化分析。结果：筛选出耳穴压豆治疗失眠相关文献1232篇，耳穴共86个。失眠辨证分型以虚症为主，其中以心脾两虚为主要证型，其次为心肾不交。耳穴压豆治疗失眠频次最高的穴位依次为神门(96.27%)、心(78.90%)、皮质下(73.70%)、交感(57.22%)、肾(42.69%)、内分泌(32.55%)。耳穴压豆的关联规则结果显示，治疗失眠关联度最高的为神门与心，配伍以神门-心-皮质下最为常见，其中核心耳穴组合为神门、心、皮质下和交感。结论：在研究方法上，引入Cytosccape软件和R语言作为工具，拓宽了耳穴处方的数据挖掘思路；通过数据挖掘分析揭示了耳穴压豆治疗失眠的取穴特点、用穴规律和穴位配伍组合，为临床优化耳穴处方、提高疗效提供指导和启示。 |
| 英文摘要: |
| ABSTRACT Objective: To use data mining technology to explore the selection rules of auricular acupoint pressing beans in the treatment of insomnia, and to provide new ideas for the diagnosis and treatment of insomnia. Methods: The CNKI, VIP and Wanfang databases were searched for clinical research literature on auricular acupoint pressing bean or auricular acupoint pressing bean combined with other interventions in the treatment of insomnia, and the literatures that met the inclusion criteria were screened. Auricular acupoints' syndrome types, frequency of use, auricular acupoint combinations and correlations were excavated and visualized. Results: A total of 86 auricular acupoints were identified in 1232 literatures related to the treatment of insomnia by auricular acupoint pressing beans. Deficiency syndrome is the main syndrome type of insomnia, with patternofdual vacuity of the heart and spleen as the main syndrome, followed by non-interaction of the heart and kidney. The acupoints with the highest frequency of ear acupoint pressing for insomnia were Shenmen (96.27%), Heart (78.90%), Subcortex (73.70%), Sympathesis (57.22%), Kidney (42.69%) and Endocrine (32.55%). The results of the association rules of ear acupoint pressing beans showed that Shenmen and Heart had the highest correlation in the treatment of insomnia, and Shenmen, Heart and Subcortex compatibility was the most common, among which the core ear acupoints were Shenmen, Heart, Subcortex and Sympathesis. Conclusion: In terms of research methods, Cytosccape software and R language were introduced as tools to broaden the idea of data mining for auricular acupoint prescription; data mining analysis revealed the acupoint selection characteristics, acupoint use rules and acupoint compatibility combinations of auricular acupoint pressing beans for insomnia, which are useful for clinical practice. Provide guidance and inspiration for optimizing auricular acupoint prescription and improving curative effect. |
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