[1]朱俊秀,闻永毅.基于《中国中医古籍总目》的数据挖掘[J].西部中医药,2023,36(04):35-38.[doi:10.12174/j.issn.2096-9600.2023.04.08]
 ZHU Junxiu,WEN Yongyi.Data Mining Based on General Catalogue of Ancient Chinese Medical Books[J].Western Journal of Traditional Chinese Medicine,2023,36(04):35-38.[doi:10.12174/j.issn.2096-9600.2023.04.08]
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基于《中国中医古籍总目》的数据挖掘
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《西部中医药》[ISSN:2096-9600/CN:62-1204/R]

卷:
36
期数:
2023年04期
页码:
35-38
栏目:
出版日期:
2023-04-15

文章信息/Info

Title:
Data Mining Based on General Catalogue of Ancient Chinese Medical Books
作者:
朱俊秀, 闻永毅
陕西中医药大学人文管理学院,陕西 咸阳 712046
Author(s):
ZHU Junxiu, WEN Yongyi
College of Humanities and Management, Shaanxi University of Chinese Medicine, Xianyang 712046, China
关键词:
《中国中医古籍总目》中医古籍数量种类数据化研究
Keywords:
the general catalogue of ancient Chinese medical booksancient Chinese medical booksquantitysortsdata-based research
分类号:
R2-09
DOI:
10.12174/j.issn.2096-9600.2023.04.08
文献标志码:
A
摘要:
目的调查中医古籍的数量、种类、学科分布、校勘等情况,为中医古籍整理、数字化和数据化研究从总体设计角度提供确切的数据支持。 方法根据《中国中医古籍总目》建立中医古籍数据库,按著作名称、成书年代、原著者、校勘者、现存版朝代、学科类别等字段名将信息录入计算机,然后按字段属性进行频数统计和数据分析。 结果以1911年为分界线,查明《中国中医古籍总目》记载的古医籍数量为8957部,早期医籍亡佚较多,学科分布的数量差距较大,经过整理校勘的医籍较少。 结论所建清单对采用数据化研究方法优化中医古籍的校勘工作有支撑作用,为文献研究提供文献重点研究目录,对指导中医古籍保护有一定帮助。
Abstract:
ObjectiveTo provide accurate data support for the collation, digital and data-based research on ancient Chinese medical books from the perspective of overall design by investigating the quantity, type, subject distribution and collation of ancient Chinese medical books. MethodsThe database of ancient Chinese medical books was established in the light of the general catalogue of ancient Chinese medical books, and the information was typed into the computer according to the name of the books, the written time, the original author, revisors, the dynasty of existing version and subject category, and then to perform frequency statistics and data analysis by the nature of field. ResultsTaking 1911 as the boundary, 8957 volumes of ancient medical books were recorded in the general catalogue of ancient Chinese medical books, more early medical books were lost, larger gap was found in the distribution of disciplines, and fewer medical records have been collated. ConclusionThe list can support the optimization of the collation of ancient Chinese medicine books by using data research methods, provide literature key research catalogue for literature research, and help guiding the protection of ancient TCM books.

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备注/Memo

备注/Memo:
朱俊秀(1992—),女,硕士学位。研究方向:医古文中医文献与中医健康。国家社会科学基金(16XYY011);陕西省自然科学基础研究计划(2018JM7156)。
更新日期/Last Update: 2023-04-15