主 办:北 京 中 医 药 大 学
ISSN 1006-2157 CN 11-3574/R

JOURNAL OF BEIJING UNIVERSITY OF TRADITIONAL CHINESE MEDICINE ›› 2021, Vol. 44 ›› Issue (3): 221-225.doi: 10.3969/j.issn.1006-2157.2021.03.005

• Theoretical Studies • Previous Articles     Next Articles

Discussion on establishing the intelligent TCM clinical decision-making and curative effect evaluation model based on the TCM pattern scale*

Chen Zhihui1, Zhang Huiyong2, Pei Yupeng1, Yang Guanlin3, Yu Li2, Zhang Zhe3, Xiao Lei2, Liu Jidong4#   

  1. 1 Liaoning Academy of Chinese Medical Sciences, Liaoning University of Traditional Chinese Medicine, Liaoning 110847, China;
    2 Affiliated Hospital of Liaoning University of Traditional Chinese Medicine, Liaoning 110032, China;
    3 Key Laboratory of Ministry of Education for TCM Visceral Manifestation Theory and Application, Liaoning University of Traditional Chinese Medicine, Liaoning 110847, China;
    4 Organization Department of Liaoning University of Traditional Chinese Medicine, Liaoning 110847, China
  • Received:2020-07-23 Online:2021-03-30 Published:2021-03-30
  • Contact: Associate Prof. Liu Jidong, Ph.D. Organization Department of Liaoning University of Traditional Chinese Medicine. No.79 Chongshan Road, Huanggu District, Shenyang 100847. Email:723583797@qq.com
  • Supported by:
    National Natural Science Foundation of China (No. 81603504, No. 81603468), National Basic Research Program of China (973 Program) (No. 2014CB531704), Project of Educational Department of Liaoning Province (No. L201943)

Abstract: TCM pattern scale is turning TCM patterns into the clinical curative effect evaluation parameters, but it still faces a lot of bottlenecks such as poor standardization, inadequate clinical application, and lack of “pattern differentiation-diagnosis-treatment-evaluation” integration. How to effectively apply the scale in clinical settings has become a problem worthy of attention and in need of solution. Artificial intelligence's ability of deep learning and integration of big data has inspired the present researchers to put forward the hypothesis that integrates the existing scales, methodology of scale development and artifical intelligence. TCM scales may be used as the way for TCM artificial intelligence to access deep learning materials, and artificial intelligence as the means of clinical application of TCM pattern scale. The research provides reference for the development of intelligent TCM clinical decision making and efficacy evaluation.

Key words: TCM pattern scale, TCM artificial intelligence, efficacy evaluation, clinical decision-making

CLC Number: 

  • R241