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An efficient approach to representing and mining knowledge from Qing court medical records |
Weimin WANG1,3( ), Jingchun ZHANG2( ), Cong CAO1, Tao HOU1, Yue LIU2, Keji CHEN2 |
1. Graduate School, Chinese Academy of Sciences, Beijing 100190, China; 2. Cardiovascular Department of Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing 100091, China; 3. School of Computer Science & Engineering, Jiangsu University of Science and Technology, Zhenjiang 212003, China |
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Abstract Research on Qing Court Medical Records (RQCMR) is a large-volume book which was edited and annotated by the sixth co-author Keji, Chen and his colleagues, and consists of all the medical records of imperial families and aristocrats of the Qing dynasty. To reveal and utilize their high value both in traditional Chinese medicine research and modern clinical practice, we have developed a method of transforming the Qing Court Medical Records (QCMR) into a computer-readable, structured representation, so that statistical analysis and data mining can be accurately performed. The method consists of a frame ontology based medical language, called MedL, for representing QCMR, a parser for compiling MedL frames into a database, and an explorative pattern mining technique. With this method the entire RQCMR volume is transformed into a database and medical patterns may be mined from the database.
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Keywords
Traditional Chinese medicine
Qing court medical records
frame ontology
explorative pattern mining
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Corresponding Author(s):
WANG Weimin,Email:wangweimin@gmail.com; ZHANG Jingchun,Email:zhangjingchun276@vip.sohu.com
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Issue Date: 05 December 2011
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