基于知识图谱中医治疗乳腺癌的可视化分析
CiteSpace-Based Knowledge Graph Analysis of Breast Cancer and Traditional Chinese Medicine Research
DOI: 10.12677/TCM.2022.115127, PDF,    科研立项经费支持
作者: 黎 斌:珠海城市职业技术学院人文学院,广东 珠海
关键词: 中医与乳腺癌中医乳腺癌可视化分析知识图谱Traditional Chinese Medicine and Breast Cancer Traditional Chinese Medicine Breast Cancer Visual Analysis Knowledge Graph
摘要: 目的:通过可视化分析,研究近19年(2000年~2019年)中医疗乳腺癌的研究情况,总结中医与乳腺癌的研究历史、现状及未来趋势,为后续科研及临床工作提供参考与方向。方法:检索中国知网(CNKI)中关于中医与乳腺癌的相关文献472篇。利用CiteSpace软件绘制知识图谱,并进行分析。结果:中药治疗乳腺癌的研究热点主要集中在中医护理、生活质量、中医证型、中医体质、化疗、中医治疗、乳腺癌术后、辨证分型、中医情志护理与中医证候等领域。研究表明,共有50位作者被纳入,其中有9位作者发文量达到6篇,并在2019年基本有发文;图谱共有11所机构被纳入,其中有5所机构发文量2篇,有2所机构发文量超过10篇;共有83个关键词被纳入,出现频次超过10次的有15个。结论:通过本研究,直观了解中医与乳腺癌的发展历史、应用现状及研究领域;中医治疗乳腺癌的研究未来之路是走中西医结合为主,并充分发掘中医药治疗的价值,以提高综合治疗疗效。
Abstract: Objective: Through visual analysis, the research of breast cancer in TCM in the past 19 years (2000~2019) is studied, and the research history, current situation and future trend of TCM and breast cancer are summarized, and the reference and direction for follow-up scientific research and clinical work are provided. Methods: 472 related literatures on Chinese medicine and breast cancer in China National Knowledge Infrastructure (CNKI) were retrieved. Use CiteSpace software to draw a knowledge map and analyze it. Results: The research hotspots of TCM treatment of breast cancer mainly focus on TCM nursing, quality of life, TCM syndrome types, TCM constitution, chemotherapy, TCM treatment, breast cancer surgery, syndrome differentiation, TCM emotional nursing and TCM syndromes. The study shows that a total of 50 authors were included, of which 9 authors published 6 papers, and basically published papers in 2019; a total of 11 institutions were included in the map, of which 5 institutions published 2 papers and 2 institutions published more than 10 articles; a total of 83 keywords were included, and 15 of them appeared more than 10 times. Conclusion: Through this study, we can intuitively understand the development history, application status and research fields of traditional Chinese medicine and breast cancer; the future road of research on the treatment of breast cancer with traditional Chinese medicine is to focus on the integration of traditional Chinese and western medicine, and fully explore the value of traditional Chinese medicine to improve comprehensive treatment.
文章引用:黎斌. 基于知识图谱中医治疗乳腺癌的可视化分析[J]. 中医学, 2022, 11(5): 880-888. https://doi.org/10.12677/TCM.2022.115127

参考文献

[1] 林毅, 唐汉钧. 现代中医乳房病学[M]. 北京: 人民卫生出版社, 2003: 302.
[2] Olu-Eddo, A.N. and Ugiagbe, E.E. (2011) Benign Breast Lesions in an African Population: A 25-Year Histopathological Review of 1864 Cases. Nigerian Medical Journal, 52, 211-216. [Google Scholar] [CrossRef] [PubMed]
[3] 国家药典委员会. 中华人民共和国药典(一部) [M]. 北京: 中国医药科技出版社, 2010: 270.
[4] 张雅聪, 吕章艳, 宋方方, 等. 全球及我国乳腺癌发病和死亡变化趋势[J]. 肿瘤综合治疗电子杂志, 2021, 7(2): 14-20.
[5] Chen, C.M. (2017) Science Mapping: A Systematic Review of the Literature. Journal of Data and Information Science, 2, 1-40. [Google Scholar] [CrossRef
[6] 李杰, 陈超美. CiteSpace: 科技文本挖掘及可视化[M]. 北京: 首都经济贸易大学出版社, 2017: 2.
[7] 任红娟, 张志强. 基于文献计量的科学知识图谱发展研究[J]. 情报杂志, 2009, 28(12): 86-90.
[8] 王娟, 陈世超, 王林丽, 等. 基于CiteSpace的教育大数据研究热点与趋势分析[J]. 现代教育技术, 2016, 26(2): 5-13.
[9] 陈悦, 陈超美, 刘则渊, 等. CiteSpace知识图谱的方法论功能[J]. 科学学研究, 2015, 33(2): 242-253.
[10] 胡佳卉, 孟庆刚. 基于CiteSpace的中药治疗2型糖尿病知识图谱分析[J]. 中华中医药杂志, 2017, 32(9): 4102-4105.
[11] 石京民, 李健. 基于CiteSpace的国内外企业社会责任研究比较分析[J]. 北京理工大学学报(社会科学版), 2019, 21(1): 65-73.
[12] 秦义, 邓榕, 刘雅儒, 等. 基于CiteSpace的气阴两虚证候诊断标准研究的知识图谱可视化分析[J]. 世界科学技术(中医药现代化), 2018, 20(6): 974-982.