以700篇中医古文献为研究对象,采用Delphi开发环境对中医领域专家给出的1521个冠心病关键词进行了词频统计分析,分析出了中医冠心病及其合并病关键词在古文献中的分布情况,以及高频关键词和最相关文献。结果表明,中医专家提取的关键词具有代表性和系统性特点,所选书目具有文献学代表性,冠心病及其常见合并病关键词词典可为科学应用中医经典文献进行文本数据挖掘提供技术支持。
The statistical analysis of the frequency of 152l coronary heart disease keywords given by experts was conduc- ted in 700 pieces of ancient literature of Chinese medicine by using the tool of the Delphi development environment, and the distribution of the keywords of the coronary heart disease and its combined diseases in ancient literature, as well as the high-frequency keywords and the most relevant literature, were obtained. The result indicates that the keywords Chinese medicine experts extracted are representative and systemic, and the selected bibliography is phi- lology representative. The coronary heart disease and its common keyword dictionary can provide technical support in scientific application of the classical literature of Chinese medicine for text data mining.