机构：[1]Integrative Medicine Hospital of Guangdong Province Foshan, China[2]Guangzhou University of Chinese Medicine Guangzhou, China[3]Guangdong University of Foreign Studies Guangzhou, China[4]Guangdong Provincal Hospital of Chinese Medicine Guangzhou, China广东省中医院
Cervical spondylotic myelopathy(CSM) is one kind of refractory diseases, with high rate of disability. Chinese medicine treatment has certain effects on delaying the process of CSM or its palindromia, and herbs are one of the most effective methods of conservative treatment. This paper presents a study on using data mining to explore the association rules among herbs used to treat CSM. By analyzing the papers of Chinese treatment of CSM and exploring the characteristics of herbs, we found that herbs usually used to treat CSM are Radix Angelicae Sinensis, Rhizoma Chuanxiong, Radix Astragali, Radix Salviae Miltiorrhizae, Radix Rehmanniae Preparata, Radix Glycyrrhizae, Poria, Radix Paeoniae Rubra, Flos Carthami, Radix Puerariae and Radix Paeoniae Alba. Besides, their effective rule support degree is more than 5.0% and confidence is more than 80%, indicating strong correlation.
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外文
WOS：
第一作者：
第一作者机构：[1]Integrative Medicine Hospital of Guangdong Province Foshan, China
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推荐引用方式(GB/T 7714)：
Wu Shuan,Tian Ruimin,Chen Shudong,et al.Application of Data Mining Technology in Analysis of Characteristics of Chinese Medicine to Treat Cervical Spondylotic Myelopathy[J].2013 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE (BIBM).2013,doi:10.1109/BIBM.2013.6732681.
APA：
Wu, Shuan,Tian, Ruimin,Chen, Shudong,Chen, Dongyi&Chen, Ping.(2013).Application of Data Mining Technology in Analysis of Characteristics of Chinese Medicine to Treat Cervical Spondylotic Myelopathy.2013 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE (BIBM),,
MLA：
Wu, Shuan,et al."Application of Data Mining Technology in Analysis of Characteristics of Chinese Medicine to Treat Cervical Spondylotic Myelopathy".2013 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE (BIBM) .(2013)
