FOLLOWUS
1. EMC Research China,Beijing,China
2. School of Computer and Information Technology, Beijing Jiaotong University,Beijing,China
3. Guang’anmen Hospital, China Academy of Chinese Medical Sciences,Beijing,China
4. Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, Kowloon,Hong Kong,China
纸质出版日期:2012,
网络出版日期:2011-10-12,
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Chen, T., Zhou, Xz., Zhang, Rs. et al. Discovery of regularities in the use of herbs in chinese medicine prescriptions., Chin. J. Integr. Med. 18, 88–92 (2012). https://doi.org/10.1007/s11655-011-0860-6
Tao Chen, Xue-zhong Zhou, Run-shun Zhang, et al. Discovery of regularities in the use of herbs in chinese medicine prescriptions[J]. Chinese Journal of Integrative Medicine, 2012,18(2):88-92.
Chen, T., Zhou, Xz., Zhang, Rs. et al. Discovery of regularities in the use of herbs in chinese medicine prescriptions., Chin. J. Integr. Med. 18, 88–92 (2012). https://doi.org/10.1007/s11655-011-0860-6 DOI:
Tao Chen, Xue-zhong Zhou, Run-shun Zhang, et al. Discovery of regularities in the use of herbs in chinese medicine prescriptions[J]. Chinese Journal of Integrative Medicine, 2012,18(2):88-92. DOI: 10.1007/s11655-011-0860-6.
Chinese medicine (CM) is a discipline with its own distinct methodologies and philosophical principles. The main method of treatment in CM is to use herbal prescriptions. Typically
a number of herbs are combined to form a formula and different formulae are prescribed for different patients. Regularities in the mixture of herbs in the prescriptions are important for both clinical treatment and novel patent medicine development. In this study
we analyze CM formula data using latent tree (LT) models. Interesting regularities are discovered. Those regularities are of interest to students of CM as well as pharmaceutical companies that manufacture medicine using Chinese herbs.
Chinese medicine (CM) is a discipline with its own distinct methodologies and philosophical principles. The main method of treatment in CM is to use herbal prescriptions. Typically
a number of herbs are combined to form a formula and different formulae are prescribed for different patients. Regularities in the mixture of herbs in the prescriptions are important for both clinical treatment and novel patent medicine development. In this study
we analyze CM formula data using latent tree (LT) models. Interesting regularities are discovered. Those regularities are of interest to students of CM as well as pharmaceutical companies that manufacture medicine using Chinese herbs.
herb regularitieslatent tree modelChinese medicine prescription
herb regularitieslatent tree modelChinese medicine prescription
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