机构：[1]Department of Critical Care Medicine Guangdong Provincial Hospital of Chinese Medicine Guangzhou, China大德路总院重症医学科大德路总院重症医学科广东省中医院[2]Second Clinical Medical College Guangzhou University of CM Guangzhou, China
Insomnia was the most common sleep problem among about one half of elder adults. Throughout centuries of clinical practice, treatment of this disease with traditional Chinese medicine (TCM) was being increasingly demonstrated advantage. Nevertheless, there are few documents concerning the composition rules of Chinese herbs according to pattern differentiation for treating insomnia. This present study focused on insomnia, collected and analyzed the literature in recent decades, applied data mining approach to explore the composition rules of Chinese herbs in formulae and the network of TCM pattern with them to form some regularities clinical medication in treating insomnia. Data mining approach is able to better explore the medication rule of insomnia which better able to guide the herbs clinical application and Chinese medicine research.
基金：
National
Natural Science Fund (No.81202782) and Department of
Science and Technology of Guangdong Province.
语种：
外文
WOS：
第一作者：
第一作者机构：[1]Department of Critical Care Medicine Guangdong Provincial Hospital of Chinese Medicine Guangzhou, China[2]Second Clinical Medical College Guangzhou University of CM Guangzhou, China
推荐引用方式(GB/T 7714)：
Mao Shuai,Chen Quanfu,Wang Lei,et al.Regularity of Clinical Medication in Treatment of Insomnia Analyzed with Data Mining Approach[J].2014 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE (BIBM).2014,doi:10.1109/BIBM.2014.6999339.
APA：
Mao, Shuai,Chen, Quanfu,Wang, Lei,Ren, Yi&Zhang, Minzhou.(2014).Regularity of Clinical Medication in Treatment of Insomnia Analyzed with Data Mining Approach.2014 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE (BIBM),,
MLA：
Mao, Shuai,et al."Regularity of Clinical Medication in Treatment of Insomnia Analyzed with Data Mining Approach".2014 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE (BIBM) .(2014)
