Future Medicine Division, Korea Institute of Oriental Medicine, 1672 Yuseong-daero, Yuseong-gu, Daejeon, 34054, Republic of Korea.
Department of Diagnostics, College of Korean Medicine, Woosuk University, Jeonju, 54986, Republic of Korea.
BMC Complement Altern Med. 2019 Jul 5;19(1):160. doi: 10.1186/s12906-019-2562-0.
Much research on Korean medicine has been recently published in Korea. The aim of this study was to determine the research trends in Korean medicine by performing a comprehensive analysis of articles that have been published in Korea using temporal and network analysis methods.
A total of 29,876 articles from 1963 to 2018 were prepared from OASIS (Oriental Medicine Advanced Searching Integrated System), the largest portal for Korean medicine. After the keywords and years were extracted from the metadata of the articles, an annual frequency matrix was obtained for the keywords. By using the matrix, the temporal trends of the keywords were analyzed by comparing the changes in similarity between the lists of keywords by year. Moreover, to analyze the relationship among research topics, a clustered network was constructed in which a node was a keyword and an edge was a similarity between two keywords.
The temporal trend of the keywords was classified into six chronological phases. The appearance frequency of most keywords tended to increase gradually, but only the keywords "mibyeong," "systems biology" and "korean medicine hospital" appeared in the most recent phase. The network of keywords was clustered and visualized into thirteen groups with the Gephi software. The main keywords in each group were related to effects such as "anti-inflammation" and "antioxidant," to diseases such as "allergic rhinitis" and "diabetes" and to therapies such as "herbal acupuncture" and "herbal formula."
The analysis of the trends determined in this study provides a systematic understanding as well as future research directions in Korean medicine to researchers. In the future, an overall analysis of the research trends in Korean medicine will be done by analyzing articles published in Korea and other countries.
最近在韩国发表了大量的韩国医学研究。本研究的目的是通过使用时间和网络分析方法，对在韩国发表的文章进行全面分析，确定韩国医学的研究趋势。
从最大的韩国医学门户网站 OASIS（东方医学高级搜索集成系统）中准备了 1963 年至 2018 年的 29876 篇文章。从文章的元数据中提取关键词和年份后，获得了一个关键词年度频率矩阵。通过使用该矩阵，通过比较每年关键词列表之间相似性的变化，分析关键词的时间趋势。此外，为了分析研究主题之间的关系，构建了一个聚类网络，其中节点是一个关键词，边是两个关键词之间的相似性。
关键词的时间趋势分为六个时间阶段。大多数关键词的出现频率呈逐渐上升趋势，但只有“mibyeong”、“系统生物学”和“韩国医学医院”这三个关键词出现在最新阶段。使用 Gephi 软件将关键词网络聚类并可视化成十三个组。每个组的主要关键词与“抗炎”和“抗氧化”等作用、“过敏性鼻炎”和“糖尿病”等疾病以及“草药针灸”和“草药配方”等疗法有关。
本研究确定的趋势分析为研究人员提供了对韩国医学的系统理解和未来研究方向。未来，将通过分析在韩国和其他国家发表的文章，对韩国医学的研究趋势进行全面分析。
