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Analysis on Composition Rules of Chinese Patent Drugs Treating Pain-Related Diseases Based on Data Mining Method

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Chinese Journal of Integrative Medicine Aims and scope Submit manuscript

Abstract

Objective

To analyze the composition rules of oral prescriptions in the treatment of headache, stomachache and dysmenorrhea recorded in National Standard for Chinese Patent Drugs (NSCPD) enacted by Ministry of Public Health of China and then make comparison between them to better understand pain treatment in different regions of human body.

Methods

Constructed NSCPD database had been constructed in 2014. Prescriptions treating the three pain-related diseases were searched and screened from the database. Then data mining method such as association rules analysis and complex system entropy method integrated in the data mining software Traditional Chinese Medicine Inheritance Support System (TCMISS) were applied to process the data.

Results

Top 25 drugs with high frequency in the treatment of each disease were selected, and 51, 33 and 22 core combinations treating headache, stomachache and dysmenorrhea respectively were mined out as well.

Conclusions

The composition rules of the oral prescriptions for treating headache, stomachache and dysmenorrhea recorded in NSCPD has been summarized. Although there were similarities between them, formula varied according to different locations of pain. It can serve as an evidence and reference for clinical treatment and new drug development.

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Authors and Affiliations

  1. Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, 100700, China

    Shi-huan Tang, Dan Shen & Hong-jun Yang

Authors
  1. Shi-huan Tang
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  2. Dan Shen
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  3. Hong-jun Yang
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Contributions

Yang HJ designed the project, Shen D collected the data, cleaned it and made primary data mining via TCMISS, Tang SH made deep analysis on the data and wrote the paper.

Corresponding author

Correspondence to Hong-jun Yang.

Additional information

Conflict of Interest

We declare that we have no financial and personal relationships with other people or organizations that can inappropriately infl uence our work, and there is no professional or other personal interest of any kind in any product, service and/or company that could be considered as influencing to the paper.

Supported by the National Nature Science Foundation of China (Nos. 81330086, 81203005), and the Fundamental Research Funds for the Central Public Welfare Research Institutes (No. ZZ070830)

Electronic supplementary material

11655_2017_2957_MOESM1_ESM.pdf

Supplementary material to “Analysis on Composition Rules of Chinese Patent Drugs Treating Pain-Related Diseases Based on Data Mining Method”

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Cite this article

Tang, Sh., Shen, D. & Yang, Hj. Analysis on Composition Rules of Chinese Patent Drugs Treating Pain-Related Diseases Based on Data Mining Method. Chin. J. Integr. Med. 25, 861–866 (2019). https://doi.org/10.1007/s11655-017-2957-z

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  • DOI: https://doi.org/10.1007/s11655-017-2957-z

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