基于CiteSpace的中医药领域人工智能应用的可视化分析
1. 青岛科技大学, 化工学院, 山东青岛 266042
2. 中国石油大学 (华东), 新能源学院, 山东青岛 266580
| 摘 要： | 人工智能为中医药领域带来深刻变革，带动中医药向智能化方向发展。为探寻中医药领域人工智能应用的研究现状及前沿热点，本研究以CNKI数据库为研究对象，基于主题“人工智能”和“中医药”进行检索后，对 2006~2023年间的文献进行可视化分析。本研究首先利用科学知识图谱可视化分析的方法，对相关文献的发文量、作者、关键词进行研究和分析，得到中医药领域人工智能应用的研究成果的基本特征，中医药领域人工智能的应用研究逐步发展，但目前尚未形成稳定研究队伍。然后，本研究对中医药领域人工智能应用研究的热点领域进行分析，得到“人工智能”、“中医药”、“中医”、“大数据”“药物研发”等几个中医药领域人工智能应用研究的热点，并借助聚类算法对研究内容进行详细讨论。最后，本研究通过总结中医药领域人工智能应用研究的发展现状和预测其发展动向，探讨当前研究成果对中医药领域人工智能应用研究的影响，并阐述该研究领域的前沿动态和发展趋势。 |
| 关 键 词： | 人工智能; 中医药; CiteSpace; 可视化分析 |
| DOI： | 10.57237/j.cmrd.2023.03.003 |
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收稿日期: 2023-08-03
接受日期: 2023-09-14
在线出版日期: 2023-09-19
Visual Analysis of Artificial Intelligence Application in TCM Field Based on CiteSpace
1. College of Chemical Engineering, Qingdao University of Science and Technology, Qingdao 266042, China
2. College of New Energy, China University of Petroleum, Qingdao 266580, China
| Abstract: | Artificial intelligence has brought profound changes to the field of traditional Chinese medicine and driven the development of traditional Chinese medicine in the direction of intelligence. In order to explore the research status and frontier hot spots of the application of artificial intelligence in the field of traditional Chinese medicine, this study takes CNKI database as the research object, searches the topics "artificial intelligence" and "traditional Chinese medicine", and makes a visual analysis of the literature from 2006 to 2023. In this study, the number of publications, authors and keywords of relevant literatures were studied and analyzed by using the method of visual analysis of scientific knowledge graph, and the basic characteristics of research results on the application of artificial intelligence in the field of traditional Chinese medicine were obtained. The application research on artificial intelligence in the field of traditional Chinese medicine has gradually developed, but no stable research team has been formed yet. Then, this study analyzed the hot fields of artificial intelligence application research in the field of traditional Chinese medicine, and obtained several hot fields of artificial intelligence application research in the field of traditional Chinese medicine, such as "artificial intelligence", "traditional Chinese medicine", "big data" and "drug research and development", and discussed the research content in detail with the help of clustering algorithm. Finally, by summarizing the development status of applied research on artificial intelligence in the field of traditional Chinese medicine and predicting its development trend, this study discusses the impact of current research results on applied research on artificial intelligence in the field of traditional Chinese medicine, and expounds the frontier dynamics and development trend of this research field. |
| Keywords: | Artificial Intelligence; Traditional Chinese Medicine; CiteSpace; Visual Analysis |
参考文献
| [1] | 陈宜晨. 基于可视化的我国政府绩效研究热点及演进发展研究 [D]. 西安建筑科技大学, 2017. |
| [2] | 杨风雷. 基于CiteSpace的航空物流主题研究可视化分析 [J]. 物流科技, 2019, 42(10): 88-93. DOI: 10.13714/j.cnki.1002-3100.2019.10.023. |
| [3] | 宋娜. 基于文献计量学分析的2000-2015年新世纪美术学研究发展动态分析 [D]. 上海师范大学, 2017. |
| [4] | 刘勇, 生晓婷, 李青. 人工智能在我国教育领域应用的可视化分析 [J]. 现代教育技术, 2018, 28(10): 27-34. |
| [5] | 孙英云. S集团公司发展战略研究 [D]. 黑龙江大学, 2022. DOI: 10.27123/d.cnki.ghlju.2022.001739. |
| [6] | 曲申. 沈阳市内五区连锁药店中药饮片药学服务调查研究 [D]. 辽宁中医药大学, 2020. DOI: 10.27213/d.cnki.glnzc.2020.000389. |
| [7] | 黄莹. 新形势下加强中医药监督工作的思考 [J]. 中国卫生监督杂志, 2017, (4): 303-305. |
| [8] | 《反射疗法与康复医学》编辑部. 健全中医药服务体系,传统医学助力全民健康 [J]. 反射疗法与康复医学, 2020, (15):前插1-前插3. |
| [9] | 张秀峰, 段志光. 基于职业认同的大学生中医药自信教育[J]. 南京中医药大学学报(社会科学版), 2020, 21(02): 104-110. |
| [10] | 刘虹豆, 杨瑞东, 倪士光. 国内外高等教育国际化研究的对比分析——基于CiteSpace可视化知识图谱的应用 [J]. 现代教育技术, 2020, 30(12): 48-54. |
| [11] | 黄斌, 吕梅, 吴成龙. 国内翻转课堂研究现状与趋势的可视化分析 [J]. 贵州师范学院学报, 2018, 34(10): 58-67. DOI: 10.13391/j.cnki.issn.1674-7798.2018.10.011. |
| [12] | 林安琪. 大数据背景下高职学生社会主义核心价值观培育研究 [D]. 贵州师范大学, 2018. |
| [13] | 张玲玲. 基于文献计量法的高职院校教学设计研究综述 [J]. 教育科学论坛, 2019, (27): 17-21. |
| [14] | 上官云珠. 我国近10年小学语文中传统文化渗透的研究热点及趋势——基于CNKI和CiteSpace的量化分析 [J]. 汉字文化, 2022(20): 124-126. DOI: 10.14014/j.cnki.cn11-2597/g2.2022.20.032. |
| [15] | 林育曼, 黄佳丹, 饶浩. 基于CSSCI的国内舆情应对策略研究可视化分析 [J]. 传媒, 2019(01): 85-88. |
| [16] | 孟学茹. 中医药领域人工智能研究现状 [J]. 中医临床研究, 2018, (22): 143-145. |
