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Bibliometric analysis on cardiovascular disease treated by traditional Chinese medicines based on big data

机译:基于大数据的中药治疗的生心血管疾病的毛发病分析

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摘要

In recent years, with the ageing of the population, environmental degradation and dietary abnormalities, the incidence of global cardiovascular disease has increased sharply, its serious impact on physical and mental health of humans is an important factor. Chinese medicine has a long history and significant efficacy in the treatment of cardiovascular disease. Based on the bibliometric method in the context of big data, this paper searched and screened the relevant literatures of TCM in the treatment of cardiovascular diseases included by SCI from 2004 to 2016 and analysed them from the aspects of annual change, regional distribution, institutional distribution, journal source, research field, highly cited literatures, high-frequency keywords and so on. The analysis results show that the total amount of literature in the treatment of cardiovascular diseases by traditional Chinese medicine is on the rise, mainly focusing on the application of traditional Chinese medicine and Chinese herbal compound, acupuncture and moxibustion, and taiji and other traditional Chinese medicine regimen. The research results of this paper provide a direction reference for TCM researchers to better understand the current research status of TCM in the treatment of cardiovascular diseases under the background of big data and for further research.
机译:近年来,随着人口的老龄化,环境降解和饮食异常,全球心血管疾病的发生率大幅增加,其对人类身心健康的严重影响是一个重要因素。中药在心血管疾病治疗中具有悠久的历史和显着的疗效。基于在大数据的背景下的真人计量方法,本文在2004年至2016年度搜索并筛选了SCI所包括的心血管疾病的相关文献,并从年度变化,区域分布,制度分布的方面分析了它们,期刊源,研究领域,高度引用的文献,高频关键词等。分析结果表明,通过中药治疗心血管疾病的文献总量正在上升,主要关注中药和中草药复合,针灸和艾灸的应用,以及太极和其他中医方案。本文的研究结果为中医研究人员提供了一个方向参考,以更好地了解TCM在大数据背景下的心血管疾病中的目前研究现状和进一步研究。

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