Exploring the associating rules of prescription and syndrome on Radix Astragali with text mining
Single Chinese herbal medicine (CHM) is the basic element in the formulae of traditional Chinese medicine (TCM).How to acquire knowledge of a single CHM within the framework of TCM is a meaningful task.In TCM,Radix Astragali (RA) is frequently and widely used in clinical practice.In order to explore the associating rules between prescription and syndrome on RA with text mining technique,we downloaded the data set on RA from Chinese BioMedical literature database (also called SinoMed).Then,the rules of prescription corresponding to disease and syndrome on RA were mined out by executing data slicing algorithms.The mining results were visually demonstrated with software Cytoscape 2.8.Text mining,together with artificial reading for anti-noising and validation,is an important approach in exploring the rules of prescription corresponding to disease and syndrome.The results showed that RA was usually used in treating diseases of diabetes and cancers.For them,blood stasis due to qi deficiency was the main syndrome in TCM.Moreover,the results demonstrated associations among TCM syndrome,diseases and formulae associated with RA.These associated networks represented a variety of knowledge items which embodied the associating rules between prescription and syndrome on RA.
Text mining Data slicing algorithm Radix Astragali associating rules
Shuyu Sun Changyuan Yu Guang Zheng Miao Jiang Minzhi Wang Xiaojuan He Aiping Lu
College of Life Science and Technology Beijing University of Chemical Technology Beijing, China School of Information Science & Engineering Lanzhou University Lanzhou, China Institute of Basic Research in Clinical Medicine China Academy of Chinese Medical Sciences Beijing, Institute of Basic Research in Clinical Medicine China Academy of Chinese Medical Sciences Beijing,
国际会议
2013 ICME International Conference on Complex Medical Engineering(2013 ICME复合医学工程国际会议)
北京
英文
115-118
2013-05-25（万方平台首次上网日期，不代表论文的发表时间）