• 1. College of Information Science and Technology, Beijing University of Chemical Technology, Beijing 100029, P. R. China;
  • 2. Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing 100700, P. R. China;
SHI Nannan, Email: 13811839164@vip.126.com
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Our team proposed and constructed an Expert-knowledge and Data-driven Comprehensive Evaluation Model of Chinese Patent Medicine (EDCEM-CPM) using the machine learning algorithm. This model could improve the system of the comprehensive evaluation of the Chinese patent medicine in technology and provide measurement tools for Chinese patent medicine according to its characteristics. The model evaluates the multi-dimensional value of Chinese patent medicine by data pre-treatment, clustering algorithms, and data training steps, such as automatic learning weighting. This evaluation model is already in practice. In this paper, we introduced the establishment of the model with the calculation process for reference.

Citation: WEN Hao, WANG Weili, ZHANG Haili, LV Maobin, ZHANG Wei, SONG Tian, YANG Wei, CHE Qianzi, LIANG Ning, ZHAO Chen, LV Cheng, WANG Yanping, SHI Nannan, WANG Kunfeng. Interpretation of guideline for multi-dimensional and multi-criteria evaluation for Chinese patent medicine: establishment of an evaluation model. Chinese Journal of Evidence-Based Medicine, 2022, 22(10): 1196-1200. doi: 10.7507/1672-2531.202206101 Copy

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