节点文献

中医古籍症状近义词数据库的构建

Construction of synonym database of symptoms based on ancient Chinese medicine books

  • 推荐 CAJ下载
  • PDF下载
  • 不支持迅雷等下载工具,请取消加速工具后下载。

【作者】 于婧杰李瑞婷代诚博韩小雪孔维丽张云王维广刘晓峰翟双庆

【Author】 YU Jingjie;LI Ruiting;DAI Chengbo;HAN Xiaoxue;KONG Weili;ZHANG Yun;WANG Weiguang;LIU Xiaofeng;ZHAI Shuangqing;Beijing Dongzhimen Hospital,Beijing University of Chinese Medicine;Chinese Academy of Agricultural Sciences;Wuhan Hospital of Traditional Chinese Medicine;Dongfang Hospital ,Beijing University of Chinese Medicine;School of Information and Software Engineering,University of Electronic Science and Technology of China;School of Chinese Medicine ,Beijing University of Chinese Medicine;

【通讯作者】 王维广;

【机构】 北京中医药大学东直门医院中国农业科学院武汉市中医医院北京中医药大学东方医院电子科技大学信息与软件工程学院北京中医药大学中医学院

【摘要】 目的:对中医古籍中的症状术语建立近义关系,为中医数据挖掘、临床研究与智能诊疗提供术语参考。方法:以中医古籍为原始数据,人工标注古籍症状术语,依据《中医诊断学》《中医临床基本症状信息分类与代码》等行业标准及专著整理标准词,分类、归纳近义词,形成中医古籍症状近义词数据库。随机抽取500对“标准词-近义词”词对形成问卷,邀请业内专家评价并分析其内容效度。结果:从医经类、伤寒金匮类、方剂类、中药类、医案类、诊断类、综合性医著、针灸类等8类古籍中提取症状术语,形成16 456个“标准词-近义词”词对。量表内容效度指数(I-CVI)约为0.82。结论:该研究构建的中医术语近义词词对准确性较高;中医古籍近义词数据库可促进临床经验传承与研究,提高数据挖掘的准确性与深度。

【Abstract】 Objective To establish the near-synonymous relationship between symptom terms in ancient Chinese medical books, and to provide terminological references for data mining, clinical research and intelligent diagnosis and treatment in Chinese medicine. Methods Based on the original data of ancient Chinese medical books, the symptom terms were manually annotated, standard words were sorted out according to industry standards and monographs such as Diagnostics of Traditional Chinese Medicine, Classification and Code of Basic Clinical symptoms of Traditional Chinese Medicine Information, and synonyms were classified and summarized to form the antonym database of ancient TCM books symptoms. 500 pairs of "standard-synonyms" words were randomly selected to form a questionnaire,and experts were invited to evaluate and analyze their content validity. Results 16, 456 pairs of "standard wordssynonyms" were formed by extracting symptom terms from 8 types of ancient Chinese medical books, including medical classics, typhoid fever classics, prescriptions, traditional Chinese medicines, Medical cases, diagnosis,comprehensive medical writings and acupuncture. The content validity index(I-CVI) was about 0.82. Conclusion The accuracy of the synonyms of TCM terms constructed in this study is high. The synonym database of ancient TCM books can promote the inheritance and research of clinical experience, and improve the accuracy and depth of data mining.

【基金】 国家重点研发计划项目资助(2019YFC1709200,2019YFC1709202);中央高校基本科研业务费专项资金资助(2019-JYBJS-010)
  • 【文献出处】 中国数字医学 ,China Digital Medicine , 编辑部邮箱 ,2025年02期
  • 【分类号】TP311.13;R2-03
  • 【下载频次】66
节点文献中: 

本文链接的文献网络图示:

本文的引文网络