单位：[1]Beijing Univ Chinese Med, China Japan Friendship Hosp, Beijing, Peoples R China[2]Beijing Univ Chem Technol, Coll Life Sci & Technol, Beijing 100029, Peoples R China[3]Lanzhou Univ, Sch Informat Sci & Engn, Lanzhou 730000, Peoples R China[4]China Acad Chinese Med Sci, Inst Basic Res Clin Med, Beijing, Peoples R China
Much useful information on Ligusticum wallichii (LW) could be obtained from published literature by text mining technique. In this study, the data set on LW was downloaded from Chinese BioMedical literature database (SinoMed). Then, association rules among diseases, traditional Chinese medicine (TCM) syndromes, formulae and herbs on LW were investigated by text mining technique. These rules include TCM syndromes to diseases, formulae and combinational herbs, respectively. Diseases related with formulae including LW were mined out by executing data slicing algorithm. Finally, the results were visually demonstrated with Cytoscape 2.8 software. The main features from the mining data were: (1) LW was frequently used in treating cerebral infraction; (2) Blood stasis due to Qi deficiency was the main syndrome in TCM clinical practice; (3) Angelica sinensis was the first herb to combine with LW according to co- occurrent frequency; (4) Associated with LW, networks of TCM syndromes- diseases, formulae-diseases, TCM syndromes-formulae, and TCM syndromes-combinational herbs were constructed. These associated networks represented a holistic thinking of Chinese medicinal therapy, which might embody association rules among diseases, syndromes, formulae and herbs on LW.
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外文
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第一作者：
第一作者单位：[1]Beijing Univ Chinese Med, China Japan Friendship Hosp, Beijing, Peoples R China
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推荐引用方式(GB/T 7714)：
Luo Dan,Xiao Cheng,Sun Shuyu,et al.Searching Association Rules of Traditional Chinese Medicine on Ligusticum wallichii by Text Mining[J].2013 IEEE INTERNATIONAL CONFERENCE on BIOINFORMATICS and BIOMEDICINE (BIBM).2013,
APA：
Luo, Dan,Xiao, Cheng,Sun, Shuyu,Zheng, Guang,Wang, Minzhi...&Lu, Aiping.(2013).Searching Association Rules of Traditional Chinese Medicine on Ligusticum wallichii by Text Mining.2013 IEEE INTERNATIONAL CONFERENCE on BIOINFORMATICS and BIOMEDICINE (BIBM),,
MLA：
Luo, Dan,et al."Searching Association Rules of Traditional Chinese Medicine on Ligusticum wallichii by Text Mining".2013 IEEE INTERNATIONAL CONFERENCE on BIOINFORMATICS and BIOMEDICINE (BIBM) .(2013)
