基于Python语言的针灸治疗失眠可视化分析

Visualization Analysis of Acupuncture and Moxibustion for Insomnia Based on Python Language

摘要: 目的：通过分析相关文献数据，对针灸治疗失眠的所有相关文献进行可视化分析，了解其研究现状和发展趋势。方法：利用Python3.10对中国生物医学文献库(CBM)，中国知网(CNKI)建库至2024年12月10日收录的针灸治疗失眠相关文献进行分析。对每个年份的标题、摘要、关键词、特征词进行apriori分析，获取有效的关联规则。结果：共纳入13882篇文献；失眠相关研究发文量持续增加，可以分为四个阶段；广东省发文数量显著高于其他地区；所有研究所受资助项目以省级基金最多；四个阶段的研究重点各有侧重又层层递进。结论：针灸治疗失眠的研究热度居高不下，受经济和社会因素影响，各个时代研究都以腧穴的治疗效果为主又各有不同。

Abstract: Objective: To understand the research status and development trend of acupuncture and moxibustion in the treatment of insomnia by analyzing the relevant literature data. Methods: Python3.10 was used to analyze the literature related to acupuncture and moxibustion for insomnia included in China Biology Medicine Disc (CBM) and China National Knowledge Infrastructure (CNKI) from the establishment of the database to December 10, 2024. Apriori analysis was performed on the titles, abstracts, keywords, and features of each year to obtain effective association rules. Results: A total of 13882 articles were included. The number of articles on insomnia has been increasing, which can be divided into four stages. The number of papers published in Guangdong province was significantly higher than that in other regions. The most funded projects of all research institutes were provincial funds. The research focus of the four stages has its own emphasis and progresses layer by layer. Conclusion: The research on acupuncture and moxibustion for insomnia is highly popular. Affected by economic and social factors, the research on the therapeutic effects of acupoints in different eras is mainly based on the therapeutic effects of acupoints.