[Exploration on rationality evaluation approach of drug combination medication based on sequential analysis and machine learning].

Journal: Zhongguo Zhong yao za zhi = Zhongguo zhongyao zazhi = China journal of Chinese materia medica
Published Date:

Abstract

Drug combination is a common clinical phenomenon. However, the scientific implementation of drug combination is li-mited by the weak rational evaluation that reflects its clinical characteristics. In order to break through the limitations of existing evaluation tools, examining drug-to-drug and drug-to-target action characteristics is proposed from the physical, chemical and biological perspectives, combining clinical multicenter case resources, domestic and international drug interaction public facilities with the aim of discovering the common rules of drug combination. Machine learning technology is employed to build a system for evaluating and predicting the rationality of clinical drug combinations based on "drug characteristics-repository information-artificial intelligence" strategy, which will be debugged and validated in multi-center clinical practice, with a view to providing new ideas and technical references for the safety and efficacy of clinical drug use.

Authors

  • Zhen-Zhen Wang
    School of Traditional Chinese Medicine, Shenyang Pharmaceutical University Benxi 117004, China.
  • Shuang Liu
    Key Laboratory for Applied Technology of Sophisticated Analytical Instruments of Shandong Province, Shandong Analysis and Test Center, Qilu University of Technology (Shandong Academy of Sciences), Jinan, 250014, China.
  • Jiang-Ling Li
    Beijing Friendship Hospital, Capital Medical University Beijing 100050, China School of Pharmacy, Chengdu University of Traditional Chinese Medicine Chengdu 611137, China.
  • Xiao-Fang Wang
    Beijing Key Laboratory of Bio-characteristic Profiling for Evaluation of Rational Drug Use Beijing 100038, China Beijing Shijitan Hospital, Capital Medical University Beijing 100038, China.
  • Ai-Ting Wang
    Beijing Friendship Hospital, Capital Medical University Beijing 100050, China Beijing Key Laboratory of Bio-characteristic Profiling for Evaluation of Rational Drug Use Beijing 100038, China.
  • Ke-Jun Deng
    Center for Informational Biology, University of Electronic Science and Technology of China Chengdu 611731, China.
  • Hao Lin
    Yangtze Delta Region Institute (Huzhou), University of Electronic Science and Technology of China, Huzhou, Zhejiang, China.
  • Dan Yan
    Department of Pharmacy, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.