Integrating machine learning and human use experience to identify personalized pharmacotherapy in Traditional Chinese Medicine: a case study on resistant hypertension.

Journal: Journal of traditional Chinese medicine = Chung i tsa chih ying wen pan
PMID:

Abstract

OBJECTIVE: To enhance the understanding of identifying personalized pharmacotherapy options in Traditional Chinese Medicine (TCM), and further support the registration of new TCM drugs.

Authors

  • Che Qianzi
    Department of Medical Statistics, Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing 100700, China.
  • Liu Dasheng
    Department of Science and Education, Medical Statistics Teaching and Research Office, Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing 100700, China.
  • Xiang Xinghua
    Department of Medical Statistics, Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing 100700, China.
  • Tian Yaxin
    Department of Medical Statistics, Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing 100700, China.
  • Xie Feibiao
    Department of Medical Statistics, Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing 100700, China.
  • X U Wenyuan
    Department of Medical Statistics, Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing 100700, China.
  • Liu Jian
    Guangxi Institute of Special Equipment Inspection and Research, Guilin Guangxi, Guilin, China.
  • Wang Xuejie
    Traditional Chinese Medicine Standards Research Center, Medical Statistics Teaching and Research Office, Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing 100700, China.
  • Wang Liying
    Traditional Chinese Medicine Standards Research Center, Medical Statistics Teaching and Research Office, Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing 100700, China.
  • Bai Weiguo
    Department of Medical Statistics, Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing 100700, China.
  • Han Xuejie
    Traditional Chinese Medicine Standards Research Center, Medical Statistics Teaching and Research Office, Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing 100700, China.
  • Yang Wei
    Department of Electrical Engineering, City University of Hong Kong, Hong Kong 999077, China.